I build production ready LLM applications and agentic AI systems.
- 🤖 Real-time AI agents with multimodal capabilities
- 🔍 RAG pipelines and context engineering
- ⚡ Production-ready AI backends with FastAPI
| Project | What it does |
|---|---|
| Vision Agent | Real-time AI interviewer with body language detection |
| RAG - LangGraph | A RAG backend built to never bluff, every answer traced to a real source, or refused outright |
| Context Excavator | Reduces LLM token usage 40-50% via semantic code filtering |
| Cross Lens | Adverserial RAG system |
| Coffee Barista Agent | AI assistant recommending personalized coffee orders using RAG, deployed on Cloud Run |
| Coffee-shop-agent | AI agent that can analyze coffee shop data writes staffing recommendations, with human-in-the-loop approval |
| bigQuery-data-agent | AI agent built with ADK + Gemini that answers business questions using BigQuery data via MCP server, deployed on Cloud Run |
Python · LLMs (OpenAI, Anthropic, Groq, Gemini) · LangChain · LangGraph · RAG Systems · Agentic AI · Vector Databases (Pinecone, ChromaDB, FAISS) · FastAPI · Streamlit · Docker · YOLO · Git · PostgreSQL
📫 yamini26284@gmail.com Linkedin : https://www.linkedin.com/in/yamini26284/