Upstaff Developer Profile Directory

- 10+ years in AI/ML & Data Science, high-performance systems, 10+ years in DevOps and 5+ years in MLOps; - Expertise in Python, Asyncio, Aiohttp, Redis, PostgreSQL, Neo4j, ElasticSearch, and cloud platforms (AWS, GCP, Azure); - Experience with high-load environments, Redis queues, custom assemblies, and data isolation in production-ready systems; - Skilled in Active Directory integrations, NLP, similarity engines, and AI-driven architectures, with focus on context engineering, summarization, and agentic RAG pipelines (LlamaIndex, Quadrant, IntentRouter); - Experienced with both text and voice AI models (speaker identification, speech-to-text) and ontology-driven algorithms (PCA, classifiers, semantic understanding from scratch); - Knowledge of AWS services (S3, EC2, Fargate, EKS, Bedrock pipelines), Kubernetes, CI/CD automation, and cloud migrations (AWS to GCP); - Passion for NLP, AI, and similarity engines, with preference for applied AI/ML approaches over purely statistical methods; - Experienced leadership in R&D and engineering management, delivering production-ready AI/ML solutions in defense, search, and semantic platforms.

- 12+ years of experience in IT, with 12+ years in Data Engineering and Data Architecture, including Oracle Databases, Data Warehousing, Big Data, and real-time streaming systems; - Experience in designing and maintaining enterprise Data Warehouses, leading cloud migration initiatives across Azure, AWS, and GCP; - Strong architectural expertise in ETL/ELT pipelines, batch/real-time processing, and data governance/quality frameworks; - Deep knowledge of Big Data ecosystems (Cloudera, Hadoop, Databricks, Synapse Analytics, HDInsight, AWS EMR); - Skilled in multi-cloud architecture design using Snowflake, DBT, Cosmos DB, Redshift, BigQuery, Athena, and Data Lake solutions; - Experienced in data streaming and integration with Apache Kafka, Apache Spark, PySpark, and Airflow; - Expertise in BI and reporting systems with Power BI and Tableau for data visualization and analytics delivery; - Strong foundation in database administration and security: Oracle EBS R12, RAC/ASM, WebLogic, SOA Suite, ERP systems, database audits and compliance; - Certified in Azure Data Engineer, AWS Data Analytics Specialty, Confluent Kafka, Oracle DBA.

Experienced IT professional with more than ten years of expertise in Cloud Systems, DevOps, Machine Learning and MLOps practices. Pavlo specializes in building scalable and reliable ML pipelines, optimizing models for real-world use, and managing full lifecycle of machine learning projects. Technical skills include TensorFlow, PyTorch, Kubernetes, Kubeflow, Terraform, Python, as well as cloud platforms such as AWS SageMaker and Azure Cognitive Services.

- DevOps/Cloud Architect with 10+ years of experience in DevOps, Cloud, and MLOps engineering; - Led large-scale projects including Hadoop-to-AWS OLAP migration, cutting operational costs by 25% and improving system performance; - Expertise in Kubernetes-based microservices architectures, AWS Fargate, and high-availability designs achieving 99.99% uptime; - Experience in multi-cloud (AWS, GCP) and hybrid on-prem/cloud adoption; - Skilled in containerization and orchestration with Docker, Kubernetes, and OpenShift; - Advanced in Infrastructure as Code (Terraform, Helm, Ansible) and GitOps/CI/CD automation (GitLab CI, GitHub Actions, ArgoCD, Jenkins); - Delivered automated CI/CD for serverless apps with AWS SAM, reducing deployment time from hours to 20 minutes; - Experienced in MLOps with AWS Sagemaker and Kubeflow, building end-to-end ML workflows; - Skilled in DevSecOps, implementing RBAC, Secrets Manager, SAST/SCA scans, reducing vulnerabilities by 50%; - Skilled in cloud networking, storage, and big data systems (Spark, Hadoop, EMR, Kinesis); - Expertise in Python, Go, Java, and Bash for automation and integration; - Experience of technical leadership, mentoring engineers, and guiding 50+ developers in Kubernetes/Docker adoption; - Experienced in architectural design, Cloud as Code initiatives, and cross-team collaboration; - Certified Kubernetes Administrator (CKA), AWS Solutions Architect, and GCP Professional Cloud Architect.

10+ years of experience in web development, M.Sc in Software Engineering, GAI, LLMs Front-End: Angular, React, Vue.js (JavaScript & TypeScript) Back-End: Node.js, Next.js, TypeScript , PHP Mobile: React Native AWS Cloud infrastructure Control systems (e.g., Git) and familiarity with DevOps practices for continuous integration and deployment (CI/CD). Unit testing, integration testing, and end-to-end testing. Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Ability to motivate and inspire team members, resolve conflicts, and provide constructive feedback. Experience conducting assessments and interviews remotely.

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Data Science - 5 years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting - Engineering, Understanding AI and LLMs

Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.

- 7 years of commercial experience with Tableau - 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL - Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US - Upper-Intermediate English

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills. - 6+ years of experience with Tableau (Certified Tableau Engineer) - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies: Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

- 8 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer - Automated Web scraping (Beautiful Soup and Scrapy, CAPTCHAs and User agent management) - Data QA, SQL, Pipelines, ETL - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Extensive experience with Spark and Hadoop, Databricks - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 5 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) including Data Analytics/Engineering services, Kubernetes (K8s) - 5 years of experience with PowerBI - 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense; - 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch; - Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub), Data Modeling, Data Integration, Data Analyses, Data Validation, and Data Cleansing) - Upper-intermediate to advanced English, - Henry is comfortable and has proven track record working with North American timezones (4hour+ overlap)

* 25 years in Israel high-tech (Video, Streaming) , 5 years with Cloud Gaming (Electronic Arts) * Scalable Video Streaming among LEO satellites (research project of Ben Gurion University) * Cloud Gaming: encoding, decoding, low latency streaming (e.g. RTP/SRT), error resilience etc. * Video Codecs: Subcontracting with Visionular on improving coding efficiency of its own HEVC encoder. * Subcontracting with DSP-IP - military projects * Video optimization and hevc codec development (Beamr Imaging) * Python Programming: development automated testing systems (CI), proofs of concept, computer vision with packages cv2 and cvlib. * Artificial Intelligence: genetics/evolutionary optimization of video codec parameters, facial expressions detection with CNN. * 360/VR: subcontracting with Texel (texel.live) - tiled streaming Computer Vision: OpenCV (including python cv2). * NVIDIA/AMD products: evaluation and modification hw encoders: Tesla T4, A40) of NVIDIA and Navi21 of AMD. * and several technical papers and several technical papers

- 5 years of commercial experience with PowerBI and Tableau - 4 years of commercial experience with SQL - Prepared a comprehensive analysis of the US real estate market with Spotfire - Assessed data quality from sources that contained tens of thousands of customer and transaction data, by using SQL in Azure SQL Database - Employed data-driven techniques to develop RFM analysis, and create interactive dashboards for customer trend visualization and high-value business proposals - Upper-Intermediate English

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

Engineer with 10+ years’ experience in AI, excelling in NLP, GenAI, computer vision, and model deployment. Expertise in Python, SQL, PySpark, and cloud platforms. Established record of enhancing AI-driven services, improving workflows, and boosting efficiency. Proven capabilities in developing robust ML pipelines, integrating state-of-the-art technologies like LLMs and RAG pipelines, and delivering solutions across diverse industries. Advanced in web and full-stack development, data engineering, analysis, and DevOps practices, underpinned by solid formal education in computer science.

10+ years of experience in web development, M.Sc in Software Engineering, GAI, LLMs Front-End: Angular, React, Vue.js (JavaScript & TypeScript) Back-End: Node.js, Next.js, TypeScript , PHP Mobile: React Native AWS Cloud infrastructure Control systems (e.g., Git) and familiarity with DevOps practices for continuous integration and deployment (CI/CD). Unit testing, integration testing, and end-to-end testing. Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Ability to motivate and inspire team members, resolve conflicts, and provide constructive feedback. Experience conducting assessments and interviews remotely.

* Experienced Data Engineer and BI Developer with 6+ years of expertise in Database Design and Business Intelligence Development. * Proficient in cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure. * Skilled in building high-performance data integration and workflow solutions, including ETL operations for data warehousing and supporting OLAP, OLTP, and Data warehouse systems. Experience in optimizing DWH performance and automating data pipelines; * Modern data engineer skills such as data modeling, data warehousing, data lake, data governance, and data quality. * Experience with big data technologies such as Hadoop, Spark, and Kafka, and experience with data streaming and real-time data processing. * Proficiency in SQL and NoSQL databases, Snowflake, and ClickHouse * Data visualization tools such as Tableau or Power BI. * Programming languages such as Python, Java, or Scala, and understanding of machine learning concepts, with experience building and deploying machine learning models. * Experience with CI/CD, data governance, and security best practices.

Expert data scientist with a strong engineering background, encompassing advanced competencies in Machine Learning, Data Engineering, and Business Intelligence. Holds an MSc in Computer Science with over 5 years of experience innovating at technology firms such as Interswitch Group and Bluechip Technologies. Proven track record in driving business decisions through data, such as enhancing credit risk models leading to a 12% loan uptake increase and implementing a Transaction Classifier with a 98% success rate. Technically proficient in Python, SQL, and a suite of analytics tools and platforms including AWS services, Sagemaker, and Evidently AI. Demonstrated excellence in employing Machine Learning and DataOps methodologies for project success.

- Applied data scientist and MLOps engineer with 5+ years in PHY security and ML for wireless systems. - End-to-end ML delivery: data wrangling, feature engineering, model development (scikit-learn, PyTorch), evaluation, and CI-friendly deployment. - Built ML-driven performance measurement and scheduling/optimization services; exposed via REST APIs; productionized on Microsoft Azure (ML Studio, Function Apps). - Strong data engineering foundation: SQL modeling and queries (Azure Data Studio), data pipelines, and reproducible experimentation. - Methods expertise: supervised/unsupervised learning, reinforcement learning, adversarial/robust modeling, optimization techniques. - Practical MLOps: containerized services, API design, monitoring-oriented deployment patterns, version control (Git). - Domain background: physical-layer authentication, anti-jamming/anti-spoofing, and federated/edge learning research. - Track record of translating complex problem statements into scalable, measurable data products with clear product impact.

An experienced Full Stack Developer with a strong background in Python, Django, and microservices. With 3+ years of industry experience, the engineer has a proven track record of designing, developing, and deploying scalable web applications across various platforms. Expertise includes backend development, cloud platform integrations with AWS and Azure, and containerization with Docker. The candidate has a robust engineering education with a BSc in Electrical Engineering and an MS in Cyber Security, reinforcing a solid foundation in software development and security. Key achievements include successfully deploying Jenkins for CI/CD, building real-time communication applications using Django Channels and Websockets, and optimizing cloud infrastructure for performance and reliability. This profile boasts advanced knowledge in CI/CD pipelines, Kubernetes orchestration, full-text search integration using Elasticsearch, and payment gateway integrations.

- Senior Python/ML Engineer with 10+ years in IT and 8+ years of professional Python experience; - Experienced in API and backend development with Python, data processing using Pandas/NumPy, and automation scripting; - Deep SQL expertise, including query optimization and database operations; - Experience with Apache Airflow, Apache Kafka, and Apache Spark/PySpark for data processing and workflow orchestration; - Strong Skills in ML/NLP frameworks such as TensorFlow, PyTorch, BERT, NLTK, and spaCy; - Extensive AWS experience (S3, Athena, EMR, Redshift, SageMaker) and Kubernetes for scalable deployments; - Built and deployed end-to-end ML pipelines and integrated AI solutions into business workflows; - Leadership as an ML engineering team lead.

- Developer and Data Engineer with 10+ years of professional experience - Knowledge of a wide range of programming languages, technologies and platforms, incl Python, JavaScript, C/C++, MATLAB; - Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics; - Determining and analyzing business requirements, communicating with clients and architecting software product; - Experience with cutting edge Semiconductor Engineering; - Solid experience in engineering and design of robust and efficient software products; - Track record of performing as a member of large-scale distributed engineering teams; - Strong knowledge of OOP/OOA/OOD, database modeling; - Proficient in presenting and writing reports and documentation; - Fluent English; - Upper-Intermediate German and Dutch.

Software Engineer with 3+ years expertise in full-stack development, focusing on backend and API integrations. Proficient in Python and JavaScript, with strong experience in Django, Django REST Framework, and FastAPI. Comprehensive knowledge of relational and NoSQL databases, with advanced skills in MySQL. Demonstrable success deploying scalable web solutions on AWS with Docker and maintaining codebases with Git. Practical application of Agile/Scrum methodologies, and a proven track record of producing maintainable, well-documented code for data-driven applications, automated systems, and AI-powered tools. Holds a Bachelor's degree in Computer Science and multiple certifications, showcasing a commitment to professionalism and continuous learning in software engineering.

Software Engineer with a Master's from Sharif University of Technology, specializing in machine learning and predictive modeling, particularly in blockchain data analysis. Technical skill set includes Python, JavaScript, SQL, along with frameworks like Django and FastAPI, and tools such as Docker and Git. Proven expertise in data analysis, machine learning, and web development, with experience designing RESTful API and backend systems. Adept at leveraging modern databases like PostgreSQL, MongoDB, Redis, and implementing agile methodologies for efficient software development. Key projects demonstrate strong capabilities in data pipeline construction, machine learning model development, and creative solution engineering for complex challenges.

Software Engineer skilled in PHP and Python for back-end development and web scraping, with experience in C++, Linux, Docker, and Git. History of developing APIs and data parsers, with expertise in server management and CMS module implementation. Holds a Software Engineering Associate Degree with focus on core computer science principles. Contributions include a C++ Tic-Tac-Toe project, showcasing proficiency in OOP and game development. Adept in multiple database systems and modern web technologies, with a strong foundation in SDLC and code refactoring.

A seasoned software engineering leader with over two decades of global industry experience specializing in BFSI, AI-driven digital transformation, and Salesforce. Has an agile and DevOps-focused engineering background with a strong understanding of end-to-end AI workflows. Boasting a history of significant contributions in DevOps pipeline optimizations, cloud technologies, and AI model monitoring. Expertise in navigating complex project management within Agile frameworks. Proven success in leading high-impact AI transformation projects, ensuring scalability and operational excellence. Technical skills include AWS Cloud, Agile + DevOps Integration, and Salesforce, alongside proficiency in implementing Generative AI and LLM solutions.

- 10+ years with data and web scraping, data analysis, and crawler development; - Developed 200+ web crawlers for fashion brands and 700+ crawlers for job offer aggregation including Fortune 500 companies; - Led a team of junior engineers in data crawling projects; - Managed scraping infrastructure, data parsing, and cleaning procedures using pandas and regex; - Skilled in Python, PHP, JavaScript, SQL, and tools like Scrapy, Selenium, Pandas, BeautifulSoup, TensorFlow, and Regex; - Analyzed data and built visualizations with Tableau and Power BI; - Experienced with version control (Git) and Agile/Scrum methodologies; - Used reverse engineering, XPath, CSS selectors, and AJAX calls to handle dynamic websites; - Developed software architecture and contributed to test automation; - Worked on projects involving distributed tasks with Gearman, Selenium, Puppeteer; - Stayed updated on web scraping best practices and emerging technologies.

Accomplished Software Architect and Hands-on Engineering Manager with a strong history of building, leading, and mentoring cross-functional teams in designing, developing, and deploying high-scalability, secure software solutions leveraging cloud platforms, microservices architectures, CI/CD pipelines, and performance optimization strategies. Experienced in both startup environments and well-established organizations, with expertise in architecting reliable distributed systems, implementing best practices, and driving innovation while delivering quality software.

- 12 years of experience in backend development, including leadership roles in cross-functional teams; - Expertise in Scala, Python, and Java (with knowledge of functional programming principles); - Experience in system architecture improvements, leading teams, and developing scalable solutions; - Expertise in PostgreSQL, Oracle DB, MongoDB, and SQL; - Cloud environments such as AWS including performance and scalability optimization; - Docker and Kubernetes for container orchestration; - Apache Kafka for building event-driven architectures; - Led AI-driven projects in areas such as resume parsing, payroll automation, and learning management;

- Highly experienced Head of Data Science with 12+ years of experience in creating and managing DS/ML teams in startups and corporate projects; - Proficient in AI, NLP, Adtech, Fintech, and CV; - Strong leadership skills and a client-oriented approach; - Skilled in Python, SQL, Prompt Engineering, HuggingFace, PyTorch, Scikit-learn, Pandas, LangChain, LlamaIndex, Spacy, GPT, Plotly, GCP, AWS, Azure, Postgre, MongoDB, BigQuery, and Vector DB; - Proactive in implementing innovative approaches for product features using Generative AI, LLM, and GPT; - Experienced in proposing innovative solutions for new business problems and managing teams; - Holds a PhD in Data Science and a Master's degree in Computer Science.

- Senior AI/ML engineer with hands-on experience in GenAI platforms, LLM orchestration, and RAG pipelines; - Skilled in Python and C# for backend services, chatbot architecture, and AI integration pipelines; - Built and deployed RAG systems using Azure OpenAI, AI Search, and LangChain; - Developed Whisper-based transcription pipelines with speaker diarization for business meeting summarization; - Integrated OpenAI models and multimodal embeddings into workflow automation tools like Jira and Trello; - Experience in distributed processing with Celery, RabbitMQ, and Redis for asynchronous task execution; - Deployed scalable AI services in Azure and AWS environments, using Kubernetes, Helm, and Azure DevOps; - Built real-time event processing and notification systems using Kafka and Apache Camel; -Designed APIs and backend services for customer support chatbots, voice platforms, and CRM integration; - Applied prompt engineering, testing (xUnit, pytest), and CI/CD automation across multiple AI initiatives.

* Machine Learning Engineer with over six years of experience in AI and machine learning. * Specializes in recommendation systems, predictive analytics, and computer vision solutions. * Experience with predictive models for demand forecasting and property valuation, optimizing inventory and decision-making processes.

Software engineer possesses robust problem-solving skills and experience in writing scalable code. Specializes in Delphi RAD Studio, with hands-on experience in ETL operations and third-party integration (Kawasaki, Honda, Briggs & Stratton, etc.). Brings proficiency in Azure Cloud Services, Salesforce (Admin + Developer), and diverse programming languages including C and C#. Holds certifications in Salesforce Platform Developer I, Azure Developer Associate, and Azure DevOps Expert. Educational background includes a BS in IT and an M.Sc in Criminology & Security Studies. Over 4 years of experience as a Senior Software Developer and adept in SMS/Email systems, payment gateways, and accounting software integrations.

A highly proficient Full-Stack Developer with over 7 years of experience, specializing in AI and NLP applications alongside web development. Adept at optimizing large language models, designing intelligent systems, and developing full-scale software solutions. The engineer's technical skill set encompasses Python, JavaScript, TypeScript, Java, C++, and SQL, with mastery in AI & NLP tools such as Hugging Face and TensorFlow. Their proficiency extends to full-stack development with a focus on MERN stack and Vue.js, demonstrated by a history of delivering high-performance, responsive e-commerce platforms, and proprietary CMS interfaces. With a Bachelor's degree in Computer Science and a strong background in DevOps practices, cloud platforms, and deployment technologies, the candidate has a proven track record of enhancing backend performance and streamlining deployment pipelines, positioning them as an asset for technically demanding roles.

Software engineer with a strong foundation in computer engineering and practical experience in developing scalable applications. Showcases expertise in Python, Flask, FastAPI, and an array of frameworks including Docker and Celery. Proven track record in optimizing data retrieval and processing, exemplified by a 50% performance increase and reduced RAM consumption at Crest Data. Innovatively implemented AI solutions, such as the Netskope AI plugin with Amazon Bedrock, and contributed to machine learning projects during an internship. Holds a solid educational background with a Bachelor's degree in Computer Engineering, boasting a high CGPA of 8.6. The engineer's work through hackathons and personal projects, geared towards automating compliance and transforming flight booking datasets using LLMs, further distinguish their profile as both skilled and innovative in the field of software engineering.

Software engineer with over 5 years of full-stack development experience in healthcare, aviation, and analytics domains. In-depth knowledge of cloud-native technologies, microservices, and scalable architectures, backed by a Master of Science in Information Systems. Demonstrated ability to integrate AI models and deliver high-impact automation workflows. Proficient in Java, Python, React, and Node.js, complemented by strong experience with AWS, GCP, Docker, Kubernetes, and CI/CD implementations. Remarkable accomplishment includes the development of AI-powered microservices that increased system accuracy, and the execution of end-to-end CI/CD workflows for enterprise-grade applications.

A proactive software engineer with a specialty in backend development and competitive programming. Proficient in Java, C++, Python, JavaScript, SQL, and skilled in using backend technologies such as Node.js, FastAPI, Flask, and Django, with basic knowledge in Spring Boot. Extensive practice with databases like PostgreSQL, MySQL, and MongoDB and tools such as Docker, Git, and Postman. Exhibits a strong foundation in computer science education with B.Tech majoring in AI and Data Science. Demonstrates experience in RESTful API design, MVC architecture, and unit testing, having applied these in practical projects like SheRide cab app and Dijkstra & A* Pathfinding Visualizer. Acknowledged for technical prowess by ranking Top 10 in the Smart India Hackathon 2024 and reaching the finals in SUSTAIN-A-THON 2024. Holds a solid grasp of software engineering principles, evidence by hands-on project experience and achievements in the field.

- IT experience starting in 2012; middle frontend developer since 2015. - Experience with the full lifecycle of designing, developing, installing, configuring, and maintaining applications on SharePoint 2016/2019, 2019 Online, Office 365, Power apps, Dynamics CRM, Power BI - Upper-Intermediate English

- Senior AI Engineer with 11+ years of experience in software development and intelligent systems; - Experience in building Retrieval-Augmented Generation (RAG) pipelines using OpenAI, Mistral, and Azure AI stack (Cognitive Search, AI Speech); - Skilled in developing an AI voice/chatbot builder with RAG support, knowledge base retrieval, and CRM synchronization; - Experienced in Integrated conversational agents with Twilio, Genesys Cloud CX, and Zoho CRM for end-to-end automation; - Designed multi-agent flows using FlowiseAI, Agentflows, Vector Stores, and Memory Nodes; - Good abilities in backend development with Python, .NET, and Node.js for scalable service integration; - Experienced in front-end development with JavaScript (ES6+), React, Angular, and Vue.js; - Skilled in delivering cloud-native microservices across AWS and Azure, using Docker, CI/CD, and automation tools; - Led feature implementation and mentoring in long-term publishing and analytics systems.

- Senior AI Engineer with hands-on experience in AI and full-stack development; - Experience in building Retrieval-Augmented Generation (RAG) pipelines with Azure OpenAI and Azure Cognitive Search; - Developed multi-agent LLM workflows using FlowiseAI with Agentflows, Chatflows, and Tool Agents; - Skilled in integrated AI chatbots with telephony platforms such as Genesys Cloud CX, VoxImplant, and Twilio; - Experience in creating seamless integrations between Genesys Cloud CX, Zoho CRM, and OpenAI for automated user interactions and data sync; - Experience in backend development using Python, C#, and .NET; - Skilled with Node.js, RESTful APIs, and building scalable backend services; - Abilities front-end background with JavaScript, TypeScript, HTML/CSS, and jQuery.

Software engineer with a robust background in full-stack development and proven expertise in Java and Python. Demonstrated success in architecting and implementing high-transaction APIs with low latency in Java/Spring Boot, and optimizing ETL pipelines using Python/Airflow. Experience includes substantial cost reductions and performance enhancements in cloud environments, AI-driven application development, and leading large-scale software migrations and modernization projects. Holds a master's degree in Computer Science and possesses advanced certifications from prominent institutions, encompassing Java, AWS, and Docker, accompanied by a strong foundation in Agile methodologies.

Software Engineer with 4+ years of experience specializing in Electronics and Communication Engineering, with a solid background in AI/ML, automation, and efficient database management. Known for developing an AI Interviewer Bot at Infosys and enhancing system performance at Accenture, including a 98% reduction in manual workload through Python scripting. Skilled in Python, PL/SQL, C#, and cloud technologies, with expertise in building REST APIs and deploying machine learning models. Recognized for leading a migration from Jenkins to GitHub Actions, optimizing batch processing by 75%, and holding certifications such as GCP Associate Cloud Engineer. With a B.Tech in Electronics and Communication, complemented by a Nanodegree in Programming for Data Science, this engineer stands out with a blend of technical prowess and innovative problem-solving abilities.

- Data Scientist with 4+ years of experience in AI and machine learning; - Specialized in NLP, time series forecasting, and generative AI; - Built RAG systems using OpenAI, Langchain, and custom pipelines; - Developed multi-agent systems for sales enablement, education, and virtual assistants; - Proficient in Python, SQL, and ML libraries like Pandas, Sklearn, Keras, and PyTorch; - Created legal assistants with HuggingFace models and citation-based RAG responses; - Built voice-based chatbots using OpenAI Whisper and ElevenLabs for voice cloning and audio processing; - Designed pipelines for text-to-speech and image generation in mobile and cloud environments; - Extracted and analyzed financial data using AWS Textract and OpenAI VLMs; - Built production-ready support bots using Dialogflow CX, Twilio, and Google Firestore; - Experienced with AWS and GCP for scalable model deployment.

Software engineer with extensive expertise in Python, Django, and AI/ML integration, adept at developing high-performance, scalable solutions. Significant experience in AI model training, data validation, and physics-based simulations, contributing to innovation in AI-driven applications. Strong background in data analysis and visualization using tools like Tableau and Looker Studio. Proven success in mechanical systems design and optimization. Holds a B.Sc. in Business Administration and a suite of technical certifications, including HackerRank problem-solving and Python programming. Over a decade of professional experience, offering a rich blend of technical prowess, analytical acumen, and project management skills.

- Data Scientist with a focus on Natural Language Processing and 16 years of experience in the IT industry; - Experienced in designing cloud-based architectures using BigQuery, Vertex AI, Cloud Functions, Datastore, and Cloud Storage; - Applies machine learning and deep learning techniques to solve problems in NLP, computer vision, and time series analysis; - Solid foundation in unsupervised learning methods, including clustering, anomaly detection, and recommender systems; - Skilled in full-cycle solution design, from requirements gathering to development and deployment; - Specialized in Generative AI, building advanced algorithms and models to address complex tasks using generative techniques; - Experience in ML model development for prediction, classification, and optimization use cases; - Proficient in Agentic AI, creating autonomous systems powered by LLMs for decision-making and workflow automation; - Experienced in text-to-speech technologies and implementation; - Experience with cloud platforms, including AWS (S3, EC2, Lex, Lambda, EMR), Azure OpenAI, and Google Cloud; - Developed applications across macOS, Linux, and Windows environments; - Creative and results-driven, with strong analytical, communication, and presentation skills.

An experienced software engineer with a solid background in AI and Machine Learning, specializing in data-driven solutions for large customer bases. Boasts advanced proficiency with languages and frameworks like Python, PySpark, TensorFlow, PyTorch, and expertise with Machine Learning Operations (MLOps) tools such as GitHub and Jenkins. The engineer has a proven track record of leading technical teams and managing stakeholder relationships in deploying end-to-end predictive models and ML solutions for key business applications in the telecommunication sector. The education credentials include a Ph.D. in Machine Learning Techniques and a M.Sc. in Automation Engineering from Politecnico di Milano, Italy, supplemented by a strong publication history that demonstrates ongoing contributions to the field.