Data Management, Machine Learning, Natural Language Processing, Power Bi, Tableau, Sql, Tensorflow, Deep Learning, Pytorch, Computer Vision, Python, Generative AI, scikit-learn, cloud platforms, Ai, Agentic AI, Relational Databases, Optimization, large language models

Data Management, Machine Learning, Power Bi, Natural Language Processing, Tableau, Sql, Deep Learning, Tensorflow, Computer Vision, Pytorch, Python, Generative AI, scikit-learn, Ai, cloud platforms, Agentic AI, Relational Databases, Optimization, large language models

MLops, Model performance monitoring, Building production-grade services, Collaboration, Model Development Optimization, Drift detection, AI Engineering, Data Feature Engineering, Feature engineering workflows, Production Systems Software Engineering, Hyperparameter tuning

Pytorch, Verilog, Python, EDA Tools, systemverilog

Github, Oauth2, Api Development, Jwt, Sql, Sso, Typescript, Gcp, Bitbucket, Gitlab, RESTful, Azure, Python, AWS, LangChain, GRPC, LangGraph, MCP

Python, AWS, Agentic AI workflows, CI CD pipelines, Llm, data ingestion pipelines

Java, Machine Learning, Data Management, Natural Language Processing, Deep Learning, Tensorflow, Pytorch, Python, Computer Vision, scikit-learn, Software system version control, R, System Monitoring and Maintenance

Machine Learning Algorithms, Data structures, Tensorflow, Pytorch, CrewAI, AI orchestration frameworks, Langchain, Hugging Face, Ethical considerations, Retrieval-Augmented Generation, Responsible AI principles, Software development principles, Agentic AI, LlamaIndex

data preparation , model selection , probability , Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), Tensorflow, Deep Learning, Git, Pytorch, Machine Learning, Python, Agents, Reasoning patterns, Optimization, Feature engineering, Production performance considerations, linear algebra, Maintainable code, Orchestration frameworks, Testing strategies