Hire Vetted Data and Analytics Engineers at Upstaff - Page 2

Seasoned Backend Engineer with over 5 years of experience specializing in Golang, adept at constructing scalable microservices and REST APIs. Demonstrated expertise in concurrency patterns and system design, backed by a strong computer science foundation with a B.E. in Computers achieving a 9.18 CGPA. Proficient in a wide array of technologies, including Go 1.18+, Gin, gRPC, PostgreSQL, and AWS cloud services, complemented by a hands-on background in DevOps practices like Docker and Kubernetes. Significant contributions to projects like a facilities management platform, industrial data management system, and e-commerce platforms, showcasing skills in optimizing database performance and developing high-performance APIs with sub-100ms response times. Embraces agile methodologies and has a proven ability to mentor other developers and lead technical initiatives.

Seasoned Data Engineer with over 6 years of industry experience, specializing in the development of robust ETL pipelines, real-time streaming solutions, and advanced data architectures. Outstanding proficiency in Python, PySpark, Kafka, AWS services, Databricks, and Airflow. Demonstrated expertise in automating data workflows, optimizing data models for analytics, and managing data migrations with minimized disruption. Adept at deploying scalable cloud-based data warehousing solutions and enforcing high standards of data quality.

Software Engineer with 3.5 years of experience in Data Engineering, specializing in ETL and Data Migration solutions. Expert in Azure Data Factory, PySpark, SQL, and Azure Databricks. A proven track record in data pipeline automation, improving data processing workflows, and implementing sound data management practices. Holds a Bachelor of Technology with a strong academic background, and an Azure Data Fundamentals certification from Microsoft. Key skills include technical fluency in data warehousing, cloud services, and software development methodologies like CI/CD. Recognized for reducing compliance errors by 35%, decreasing data retrieval times by 40%, and enhancing reporting capabilities in complex business environments.

Senior AI/ML Engineer with over 6 years of experience, specializes in LLM pipelines and generative AI. Demonstrates strength in designing high-performance machine learning algorithms and implementing scalable AI solutions. Proficient in FastAPI, AsyncIO, and Python, with deep knowledge of Pandas, NumPy, and AI/ML technologies like TensorFlow and LangChain. Has successfully deployed complex ETL pipelines and cloud infrastructure, ensuring robust data processing and delivery. Holds advanced certifications and a proven track record in AI project delivery, consistently improving operational efficiencies and business intelligence.

Data Engineer with extensive experience in developing data-driven solutions, leveraging Python, SQL, and ETL/ELT methodologies. Proven track record in optimizing data pipelines and implementing large-scale data warehouses, evidenced by the successful analysis of AirBnB rental prices and product sales strategies. Skilled in Big Data technologies like PySpark, Databricks, and MongoDB, as well as report generation and visualization using Power BI. Holds professional certifications from DataCamp and Microsoft, demonstrating a strong foundation in data fundamentals and Azure services. Played a pivotal role in deploying an LLM powered chatbot at Cisco. Contributed to an increased efficiency and automated processes as a freelance engineer, bringing innovative solutions that enhance operational performance.

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.

Software Engineer with hands-on experience in AI training and software development. Proficient in Python, Java, C++, JavaScript, PHP, and MySQL. Skilled with TensorFlow, Scikit-Learn, and PyTorch. Master's and Bachelor's degrees in Software Engineering and Intelligent Systems from Kirinyaga University. Developed an AI-augmented code optimization framework and an academic performance predictor using ML techniques. Strong background in full-stack system development, machine learning model evaluation, dataset annotation, and software engineering research.

Experienced Senior Machine Learning Engineer with over 8 years in AI research and system architecture, developing and scaling AI systems and machine learning models for use in retail, conversational AI, and writing assistance platforms. Distinguished for leading multidisciplinary teams and aligning AI with business strategies, achieving substantial performance improvements and cost savings. Proficient in AI/ML (e.g., deep learning, reinforcement learning, computer vision), data pipeline design, and MLOps (e.g., Kubernetes, Docker), with a strong background in full-stack engineering (Python, C++, Go, Node.js, React) and cloud platforms (AWS, GCP, Azure). Holds a Master's degree in Artificial Intelligence from New York University, complemented by a Bachelor's in Computer Science, validating comprehensive expertise in algorithmic research, technical publications, and significant contributions to domain-specific AI applications.

Senior Machine Learning Engineer with a decade of experience, excelling in AI/ML systems, MLOps, and infrastructure scalability. Proven capability in deploying models on edge devices, creating efficient cloud pipelines, and ensuring production-readiness with advanced monitoring solutions. Technical adeptness spans across Python, C++, and cloud platforms (AWS, GCP, Azure), with hands-on expertise in frameworks like PyTorch, TensorFlow, ONNX, and Kubernetes for model deployment and orchestration. Holds a solid educational background with a Master's in Mathematics and Computer Science from USC and a Bachelor's in Computer Science from Tsinghua University. Demonstrates a strong record of achievements in optimizing computer vision models for retail, designing decentralized ML infrastructure, implementing scalable AI pipelines, ensuring system reliability, and advancing sales analytics & forecasting methodologies.

A seasoned Senior Software & Machine Learning Engineer with extensive experience in backend engineering, AI/ML, and data engineering. With a decade of professional involvement, the engineer boasts a deep understanding of distributed computing and database design, having worked with technologies like .NET, Python, Spark, and Kubernetes. Education includes a BSc in Computer Science & Artificial Intelligence, reinforcing a solid foundation in modern engineering principles. Holds a proven track record of implementing intelligent systems, such as conversational AI platforms and deep learning models, that have significantly improved user engagement and reduced operating costs. The engineer's technical acumen is further highlighted by expertise in full-stack development, including the use of React, Svelte, and Angular, and in creating robust cloud-based solutions leveraging AWS. This combination of practical experience and education makes the engineer a standout candidate for driving innovation and efficiency in complex software environments.

Proven Software Engineer with robust academia in Intelligent Systems & Software Engineering, adept in Python, Java, and AI/ML technologies. Offers hands-on experience in AI model training and software development, with expertise in algorithm optimization and system design. Noteworthy involvement in developing an AI-augmented code optimization framework and a performance predictor project during BSc. Combines technical prowess with data annotation and model evaluation finesse, poised to thrive in AI innovation.

- Have experience in programming Spring Framework. - Have experience with Microservices architecture. - Practice with Elasticsearch (Kibana); - Experience in the fintech sphere; - Understanding of “Clean code”; - Good logical thinking, self-learning, high level of responsibility. - Responsible, hard-working, result-oriented, creative, and communicative, team player. - Intermediate English. - Availability starting from Asap

This software engineer boasts hands-on experience in cloud technologies, data analysis, and information security, supported by a BSc in Computer Science. Expert in Microsoft security and AWS cloud services, they have effectively managed projects in cloud computing, setting up and monitoring AWS resources with a focus on automation. With proficiency in cybersecurity principles, identity management, and threat protection, their skill set extends to serverless computing, data visualization, and network security. They demonstrate an advanced command of technical tools including CloudWatch, Power BI, and SQL, showcasing the capability to implement data-driven solutions. Their work experience encompasses providing IT support and deploying cloud solutions, evidencing a strong track record in both the educational and corporate sectors. Holding numerous industry certifications, this engineer embodies a blend of technical acumen and practical experience, making them a standout candidate for roles prioritizing cloud infrastructure and cybersecurity.

Computer Science graduate with a record of developing full-stack systems to combat web misinformation, leveraging technologies such as LangChain, FastAPI, and MongoDB. Engineered secure REST APIs in Node.js with JWT for the SplitSmart App, optimizing database performance and spearheading documentation. Conceived a mental health mobile app with real-time chatbot support in Flutter, demonstrating user-experience acumen. Compiled practical experience as a Mobile Money Agent, evidencing proficiency in transaction handling and regulatory compliance. Academically grounded from the University of Malawi, with engagement in leadership roles and proactive community development. Well-versed in Python, Java, JavaScript, along with AI/ML, this candidate is poised for tackling complex challenges in backend development, API design, and system integration.

- Senior Full-Stack Engineer with over 8 years of industry experience and a solid educational background with a Bachelor's degree in Computer Science from Holy Angel University. - Expertise in a wide range of programming languages (JavaScript, TypeScript, PHP, Java, Python, Golang, C#) and frameworks (React, Next.js, Vue, Node, Laravel, Django), enabling versatile full-stack development. - Proficient in modern DevOps and cloud technologies (Docker, Kubernetes, AWS, GCP), AI & ML implementations (PyTorch, TensorFlow), and creating responsive front-end applications that improve user experience. - A track record of building and maintaining large-scale, AI-integrated applications, such as a consumer savings app with 20,000+ active users. - Strong grasp of databases (MySQL, PostgreSQL, MongoDB, Firebase, Redis) and proficiency in Version Control (Git), improving collaboration and SDLC efficiency. - Demonstrated ability to drive projects from concept to deployment, with an emphasis on clean code, automated testing, and CI/CD practices.

Software engineer with extensive experience in Python development, application support, and financial systems. Strong expertise in technologies such as Django, Flask, Oracle, SQL, and data visualization through Power BI. Proven background in Python script automation and API creation for banking applications, improving operational efficiency by 30%. Skilled in cross-functional team collaboration, version control with Git, and maintaining critical 24/7 financial systems. Adept in machine learning and data science methodologies, poised to contribute to technology advancement in a reputed organization.

Full Stack Developer and AI/ML Engineer with a solid foundation in computer science from the University of the Punjab and over two years of software engineering experience before transitioning to machine learning. Proficient in creating scalable ML pipelines and backend development, with hands-on expertise in Hugging Face, LangChain, and vector databases like Pinecone and FAISS. Technical skill set includes Python, Flask, Django, and cloud services across AWS, GCP, and Azure, with a focus on applying NLP, LLMs (GPT, BERT, LLaMA), and AI automation to practical business processes. Proven track record in ML workflow optimization, MLOps, and DevOps, underscored by significant improvements in automation efficiency, authentication reliability, and data processing times.

- 5+ years of experience in Python backend development, focused on distributed systems, REST API design, and microservice architecture; - Experienced with FastAPI, Django, and Django REST Framework, with a deep understanding of framework internals and asynchronous programming (asyncio, Celery, Kafka); - Experience developing and maintaining scalable APIs and high-performance backend services for AI-driven platforms, cryptocurrency systems, and automation tools; - Solid knowledge of RDBMS systems with emphasis on PostgreSQL - database schema design, optimization, and query performance tuning; - Experience with SQLAlchemy (declarative and async modes) and integration of data pipelines across multiple services; - Skilled in Docker-based deployments and cloud environments (AWS, Azure) with hands-on CI/CD setup and monitoring; - Experienced in secure authentication systems (JWT, OAuth2) and real-time data streaming using Kafka and Celery; - Strong command of SDLC, code quality, testing (Pytest), and Agile methodologies; - Experience in AI integration - building and deploying AI agents and workflow automation tools with LangChain, Supabase, and Firebase.

I help enterprise teams automate and simplify Oracle data workflows, integrations, and large-scale backend systems. Experienced across healthcare, telecom, logistics, retail, manufacturing, consulting and public sector, I solve database reliability and performance problems for mission-critical applications. Available for remote freelance/contract projects, specializing in PL/SQL, Python, Oracle EBS R12, ETL pipeline automation, and cross-time zone support.

I am a seasoned blockchain developer with proven experience in building, optimizing, and scaling projects across multiple layers and ecosystems. Beyond development, I also bring strategic connections and marketing expertise to help projects succeed from launch to adoption.

Developing and optimizing model-based and data-driven algorithms for UAV trajectory planning, control, and autonomous decision-making. Combining AI, optimization, and simulation to enable intelligent flight systems.

Data Scientist/Machine Learning Engineer with over 5.5 years of experience specializing in predictive modeling, analytics, computer vision, and offering a robust background in computer science and software engineering. Technical proficiency in Python and a range of data science tools including Numpy, Pandas, and Machine Learning libraries such as Scikit-learn. Expert in deploying ML models to cloud environments like Azure and AWS. Experience includes implementing custom ML solutions for fraud detection in banking, credit risk analysis in finance, energy consumption forecasting, and telecom subscriber insights. Strong track record in data engineering with Apache Airflow and Spark, and backend development with FastAPI. Practical DevOps and MLOps integration expertise using Docker, Jenkins, and MLflow, and experience with databases like PostgreSQL and Redis. Recognized for enhancing model performance through feature engineering, optimizing hyperparameters, and ensuring model explainability.

Data scientist with over 4 years of experience in implementing scalable ML solutions in finance and tech sectors, with a focus on credit risk and behavior prediction models. Expert in Python, PyTorch, SQL, and leveraging cloud technologies (AWS, GCP). Demonstrable achievements in enhancing churn prediction accuracy and user retention rates through advanced analytics. Proficient in setting up continuous integration and deployment pipelines using Docker, Airflow, and GitLab. Holds a Masters in Data Science and IBM Data Scientist certifications, with a strong foundation in computer science from the University of Lagos. The engineer's technical prowess, coupled with their methodical approach to A/B testing, ML pipeline development, NLP, and recommendation systems, makes them a strong candidate for sophisticated data science roles.

Software engineer with proven expertise in designing robust machine learning and data pipeline components. Key experiences include leading the integration of an agentic AI decisioning solution at Braze and crafting data strategies at WE Foundation. Technically proficient in Python, SQL, Spark, and GCP, with strong foundations in software engineering principles for scalability and maintainability. Demonstrated leadership in advancing team culture, significantly reducing model downtimes at SOK. Credited with innovating AI-driven scheduling solutions at Quinyx, contributing over €350K in annual recurring revenue. Currently finalizing a Master's degree in Business Analytics with hands-on application of Business Intelligence, analytics, and data modeling, poised to deliver high-impact results in technology-driven roles.

With over 9 years of experience, the engineer has established a strong reputation in full stack development, exhibiting prowess in Python, Django, React JS, and front-end JavaScript technologies. They have a proven track record in leading and developing scalable web applications, showcasing competencies in database schema design, backend logic, API creation, and performance optimization. Their educational foundation in Computer Sciences is complemented by their ability to work in team environments, driving projects to successful completion and mentoring junior developers. The engineer possesses practical knowledge of cloud services, version control, data scrapping tools, CI/CD pipelines, and has actively contributed to various projects, demonstrating technical agility across domains such as e-commerce, HR management, sentiment analysis, and more.

Highly skilled MLOps Engineer with extensive experience in building, deploying, and scaling machine learning models in production environments. Proficient with a range of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes), adept at implementing CI/CD pipelines (Jenkins, GitHub Actions) for reduced deployment time by 40%, and well-versed in MLOps/DevOps integration for efficient ML model lifecycle management. Holds a strong foundation in computer science with an M.Sc. degree and multiple certifications including AWS Machine Learning Specialty. Proven track record with project achievements like developing an ETL pipeline for real-time analytics and achieving a 20% reduction in transaction fraud through a real-time fraud detection system.

A seasoned software engineer with a Master's in Electrical Engineering from Lahore University of Management Sciences and a Bachelor's in Computer Engineering from NUST. Specializing in data science, the engineer has honed skills in Tableau, Microsoft Power BI, and Amazon Redshift, showcasing versatility in data analytics and visualization tools. Fluent in English and Urdu, the candidate possesses full professional and native language proficiencies. Contributing to several research projects, the engineer has a track record in machine learning and automation systems, having led a team of 100+ staff on a major metro transit system and developed a localized Urdu search engine. The candidate's technical portfolio includes optimizing Information Retrieval and ML algorithms for news classification and ad-serving systems, aligned with top-tier research in Smart Data Systems and Intelligent Control.

Senior Software Engineer with a BSc in Computer Science and over 10 years of experience specializing in Python, Django, JavaScript, React, TypeScript, and cloud platforms like AWS and Azure. Demonstrated ability in creating scalable microservice architectures and developing high-performance backend services, with a keen eye for front-end user experiences. Proficient in deploying applications using CI/CD pipelines and proficient in database management with systems such as PostgreSQL. Successfully evolved ML workflows in FinTech, eCommerce, and AI, enhancing operations and boosting performance.

A Senior Full Stack Engineer with a Master's in Information Technology from the University of Central Punjab, distinguished by strong expertise in JavaScript, TypeScript, Python, and notable experience in AI integration. Over 7 years of hands-on engineering practice across various roles in programming and team leadership. Proficiency in full-stack web development, scalable backend architecture, and cloud computing underscored by an excellent track record with Node.js, React.js, Next.js, and NestJS. Possesses extensive knowledge of cloud platforms like GCP and Vertex AI and demonstrates a deep understanding of Agile methodologies, CI/CD pipelines, and DevOps practices. Recognition for effectively leading development teams, mentoring junior engineers, and consistently delivering high-quality software solutions.

Software engineer with a strong focus on AI integration and full-stack web solutions. A proven track record in building AI-powered tools and automating core processes, coupled with expertise in cross-platform development and containerization. Extensive experience with Python, Docker/Nginx, and deploying reliable APIs. Actively pursuing a Bachelor's in Computer Science and excelling in hands-on roles such as Software Research Engineer. Achievements include reducing log review time by 70% and improving customer agents' response rate from 45% to 85%. Adept in languages like C/C++, JavaScript/TypeScript, and possesses advanced skills in frameworks like Django and ReactJS.

Results-driven AI/ML Engineer who transforms data into actionable business insights. Led development of recommendation systems that increased user engagement by 35% and fraud detection models that reduced financial losses by $2M annually. Expert in building scalable ML infrastructure and cross-functional collaboration, with experience managing full ML lifecycle from research to production deployment. Combines strong technical expertise in Python, PyTorch, and cloud technologies with business acumen to deliver measurable ROI through AI solutions.

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.