Tensorflow, Numpy, Nlp, Pytorch, Docker, XGBoost, Python, AWS, Matplotlib, Sql, Git, Pandas, Gcp, Keras, Rest Apis, Azure, Kubernetes, Computer Vision, Airflow, MLflow, Pinecone, Vector Databases, Kubeflow, ChromaDB, LangChain, Generative AI, LLMs, Scikit-learn, FAISS, RAG, CI/CD

data engineering , Technical Leadership, python, Pytorch, Deep Learning, Machine Learning, Numpy, MLops, Azure, retrieval-augmented generation, vector search, langchain, mentorship, model deployment, embeddings, langgraph, llmops, agentic ai, production integration, model serving, prompt engineering, pipeline architecture

cloud platform , Artificial Intelligence - BASIC, Generative AI - Basic, Machine Learning, AI-Generative AI, Technology, AI-Data science, AWS Data Analytics

Ml, Cloud Migration, Software Engineering, multi-agent systems, Generative AI, application transformation, LLMs, Ai, AI-assisted application modernization, Security, Agentic AI, platform upgrades, responsible AI practices, Governance, observability, RAG architectures, autonomous agents

Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures

Image Processing, Data Science, deep learning frameworks, chatbot development, production-quality AI pipelines, generative AI models, AI applications, neural network architectures, cloud AI services, on-premises infrastructure

Python Programming, Databricks, Agent Frameworks Libraries, Prompt engineering

Python Programming, Databricks, Machine Learning Algorithms, Prompt engineering