03WORK

Where I've
worked.

Wipro

AI/ML Intern

MAY 2026 — JULY 2026

Hyderabad, India

Built a RAG pipeline over messy, real-world domain PDFs where answer accuracy mattered, and developed an agentic workflow for a client's process.

  • RAG over 25+ real-world PDFs: LangChain, Hugging Face embeddings, ChromaDB
  • Hallucination control through chunking, Top-K, and prompt validation
  • Agentic workflow with Google ADK to optimize a client's process
PythonLangChainHugging FaceChromaDBGoogle ADK

lab note

RAG PIPELINE

25+

PDF documents

1,000+

indexed chunks

  1. 25+ DOCS
  2. 1,000+ CHUNKS
  3. EMBEDDINGS
  4. CHROMADB
  5. RETRIEVAL
  6. LLM
  7. ANSWER