React, Python, HTML, data pipelines or ETL processes, SDLC engineering best practices, secure development practices, AI-assisted development tools, modern JavaScript, databases and data modelling

Ml, Apis, Data Architecture, Gcp, Azure, Python, AWS, LLM integration, Ai, prompt engineering, performance optimisation, model evaluation, scalable backend systems

Data Management, Cuda, Gcp, Azure, Kubernetes, Python, AWS, common ML frameworks, Scientific Python Stack, CI CD

Microservices, AWS, Nltk, Node.js, Azure, Gcp, Nlp, Javascript, Restful Apis, LLMs, OpenAI, Claude, Hugging Face, cloud platforms, NLU libraries and tools, Rasa, LLaMA, SpaCy

Tcl, Python, Perl, ATPG, clocks design, RTL, Scan, Vlsi, Generative AI solutions, Applied Machine Learning, Sta, place-n-route, Data Analysis, Statistical Tools, Dft, Power

Gcp, Pytorch, Azure, Python, AWS, PEFT, DeepSpeed, Hugging Face ecosystem, Megatron-LM, Accelerate, Ray, Prefect, LangGraph, Transformers, FSDP

Python, Sql, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling

Python, Tensorflow, Pandas, Numpy, Sql, Docker, Git, Scikit-learn

Azure, Java, AWS, Python, Golang, Gcp, LLMs, model fine-tuning techniques, cloud native services, GenAI, Agentic AI frameworks, REST-API, MCP, context engineering techniques, A2A protocols