Discover Top Developer Profiles

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.

- 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.

- 12+ years experience working in the IT industry; - 12+ years experience in Data Engineering with Oracle Databases, Data Warehouse, Big Data, and Batch/Real time streaming systems; - Good skills working with Microsoft Azure, AWS, and GCP; - Deep abilities working with Big Data/Cloudera/Hadoop, Ecosystem/Data Warehouse, ETL, CI/CD; - Good experience working with Power BI, and Tableau; - 4+ years experience working with Python; - Strong skills with SQL, NoSQL, Spark SQL; - Good abilities working with Snowflake and DBT; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Upper-Intermediate English.

- 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.

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.

- 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 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.

* 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.

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.

Software Engineer with over 5 years of AI implementation experience, possessing deep expertise in machine learning and natural language processing. Proven track record in developing AI strategies, implementing automated document workflows, and training teams in AI tool adoption. Proficient in a range of technologies including AWS, Azure, Docker, Kubernetes, and various machine learning libraries (TensorFlow, PyTorch, Scikit-learn). Strong background in DevOps with experience setting up CI/CD pipelines and database administration, paired with the ability to produce precise technical documentation. Notably contributed to improved forecasting and customer service through predictive modeling. Holds a Master's degree in Project Management, reinforcing a solid foundation in both the practical and theoretical aspects of technology and project execution.

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.

Accomplished Senior Web & Mobile App Developer with a robust educational foundation, holding a Bachelor of Science in Computer Science from the University of California, Berkeley. Possesses extensive experience with a tenure from July 2020 to August 2023 at Tech Innovators Inc., where contributions led to a 30% increase in user engagement for a million-user cross-platform app. A tenure as a Full-Stack Developer at Creative Solutions Ltd. from June 2016 to February 2020 resulted in a marked 25% client satisfaction increase. Expertise in a broad spectrum of technologies including WordPress, Shopify, PHP, React.js, Node.js, Android, React Native, and cloud platforms like Google Cloud and AWS. Strong ability in web scrapping, API integration, and database optimization. Proven track record in leading projects, mentoring teams, and fostering a culture of continuous improvement.

I am a high-energy, proactive Java developer with 4 years of hands-on experience in Java technologies. Throughout my career, I have worked on multiple projects, contributing to the development of scalable, efficient, and high-quality software solutions. I thrive in team environments, placing strong emphasis on collaboration and communication with teammates, cross-functional development teams, Product Owners, and Group Managers.My area of expertise includes but is not limited to:Java & Spring Ecosystem: Spring Boot, Spring Security, Spring Data Databases: PostgreSQL, MongoDB, MySQL Authentication & Security: Keycloak, JWT, OAuth2 Containerization & Deployment: Docker, Docker Compose Build & Migrations: Gradle, Flyway Testing & CI/CD: JUnit, TestContainers (learning CI/CD) Version controls: Git OS: Linux and Windows Rabbit MQ GraphQl

Software engineer with a deep foundation in RDBMS design, including extensive experience in developing and bug fixing MySQL. Expertise in client-server protocols, lexical analysis, parsing, and SQL commands. Highly skilled in C and C++, with notable contributions like the MySQL++ API and software critical to the Mars Rover mission. Holds a BSc in Technology, with proficiencies in English, French, Italian, Greek, and Slavic languages. Recognized with numerous industry awards, including the 'MySQL Rock Star 2025'.

- 4+ years of experience as a Data Engineer, focused on ETL automation, data pipeline development, and optimization; - Strong skills in SQL, DBT, Airflow (Python), and experience with SAS, PostgreSQL, and BigQuery for building and optimizing ETL processes; - Experience working with Google Cloud (GCP) and AWS: utilizing GCP Storage, Pub/Sub, BigQuery, AWS S3, Glue, and Lambda for data processing and storage; - Built and automated ETL processes using DBT Cloud, integrated external APIs, and managed microservice deployments; - Optimized SDKs for data collection and transmission through Google Cloud Pub/Sub, used MongoDB for storing unstructured data; - Designed data pipelines for e-commerce: orchestrated complex processes with Druid, MinIO, Superset, and AWS for data analytics and processing; - Worked with big data and stream processing: using Apache Spark, Kafka, and Databricks for efficient transformation and analysis; - Amazon sales forecasting using ClickHouse, Vertex AI, integrated analytical models into business processes; - Experience in Data Lake migration and optimization of data storage, deploying cloud infrastructure and serverless solutions on AWS Lambda, Glue, and S3.

Software engineer with over 8 years of experience, including 5+ years specialized in AI. Proven track record in leading AI strategy, implementing machine learning models, and training teams on AI tool usage. Expertise in Python and various ML libraries (e.g., TensorFlow, PyTorch), as well as in CI/CD, virtualization, and API development. Adept in managing cloud infrastructures (AWS, Azure) and ensuring system performance and efficiency. Holds a Master’s in Project Management, indicating a strong foundation in leading complex technical initiatives.

* Data Scientist with a Master’s Degree in Computer Science and extensive experience in machine learning, deep learning, and cloud services ( Azure,AWS and GCP). * 7 years of experience, proficient in building ML pipelines and deploying scalable solutions. * Developed and deployed a voice-to-voice pipeline for a call center VoIP system using Whisper, Llama, and MMS-TTS, including API integrations and Docker deployment. * Implemented a Google Doc AI Wrapper, improving document recognition accuracy through advanced preprocessing techniques. * Designed a deforestation detection system using clustering and Azure-based services to monitor forest areas.

- Experienced Machine Learning Engineer with Data Engineering skills - Experience in ensemble recommendation systems, customer behavior prediction, and recruitment insights, analytics, chatbots. - Experience in user retention, engagement, operational efficiency increase, enhancing stock turnover, forecasting accuracy, automated damage assessment models, and vehicle security through advanced ML models and BigData. - Worked with industries: insurance, finance, restaurants - Solid expertise with Big Data, Natural Language Processing, Computer Vision

- Senior Machine Learning Engineer with extensive experience in providing innovative machine learning solutions and automation. - Experience with ontology enrichment & transformation, Named Entity Recognition, recommendation systems, sentiment analysis - Experience with Data Engineering stack - Advanced skills in Python, Flask, FastAPI, Redis, Postgres, TensorFlow, PyTorch, Elasticsearch, Docker, and Hugging Face. - Proven track record in data analysis projects implementation.

With a Ph.D. in Computer Science and a comprehensive background in Electrical and Electronics Engineering, this candidate has over two decades of adeptness in AI, cloud computing, and big data analytics. The engineer is skilled in strategic project management, with a strong focus on the application of machine learning pipelines and cloud infrastructure development. Technical proficiencies include expertise in NLP, data analysis, IoT, and using advanced cloud platforms like AWS, Google Cloud, and Microsoft Azure. The candidate's teaching experience and substantial contributions to industry publications underscore a balanced blend of practical and theoretical knowledge. The engineer's prior roles demonstrate significant leadership in shaping AI strategies and guiding data-driven innovations.