Python Gen Ai Profile

Build solutions using LLMs such as OpenAI, Azure OpenAI, Gemini, Claude, or Llama.

Develop RAG (Retrieval-Augmented Generation) applications using enterprise data.

Implement document ingestion, chunking, embeddings, retrieval, and response-generation pipelines.

Work with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search.

Develop AI agents and agentic workflows using frameworks such as LangChain or LangGraph.