data wrangling , Data Science, Azure, Solution Architecture, Python, LLMs, GitHub CI CD, Context Engineering

Fpga, C, Python, MCU, AI ML models, Embedded Systems

data engineering , Sql, Python, Big Data Technologies, Machine learning monitoring systems, Cloud-based resources, AI-driven pipelines, Data engineering automation

Machine Learning, C, Apis, Software Development, Software Integration, Artificial Intelligence, Cloud Technologies, Data Analytics, Automation, Python, Visualization, Microcontrollers, Embedded Systems

Continuous Integration, Numpy, XGBoost, Python, Machine Learning, Git, Pandas, Continuous Delivery, Containers, Structured Query Language, data pipelines, scikit-learn, time-series modelling, lightweight application development, hyperparameter optimization, model evaluation, optimization methods, large language models, experiment-tracking frameworks, production-oriented software engineering, cloud platforms, retrieval-augmented generation, genetic algorithms, evolutionary computation, agentic workflows, feature engineering

Databases, Data Analytics, Machine Learning, Artificial Intelligence, Power Bi, Tableau, Structured Query Language, Python, Data Processing, software-development principles, data visualization tools

Data Science, Machine Learning, Software Engineering, Pytorch, Python, Computer Vision, Agentic Systems, Multimodal AI, Large Language Models

MCP tool function calling, prompting, building and deploying agentic workflows or tool-using agents, GenAI primitives, context engineering

Bash, Networking, Cloud Technologies, Linux, Distributed Systems, Hpc, Python, Cloud Computing, AI infrastructure, AI models, Infrastructure, AI agents, GPU computing