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
- 25+ DOCS
- 1,000+ CHUNKS
- EMBEDDINGS
- CHROMADB
- RETRIEVAL
- LLM
- ANSWER