AI/ML Engineer building production-grade LLM systems — RAG pipelines, autonomous agents, and document intelligence APIs.
I work on the gap between "AI prototype" and "AI that runs a real business workflow."
| System | Description | |
|---|---|---|
| 🔒 | RAG Pipelines | Multi-source doc Q&A with citation-level accuracy and hallucination guardrails |
| ⚙️ | AI Agents | LangGraph state machines with real tool-use and human-in-loop approval |
| 📊 | Document Intelligence | Medical · legal · financial extraction with field-level confidence scoring |
| 🚀 | LLM Copilots | Streaming AI APIs embedded in SaaS products, cost-optimized |
🔒 PrivateGPT Enterprise
Chat with your internal documents. Every answer source-cited. Zero hallucinations. Role-based access control.
LangChain ChromaDB FastAPI Docker Railway
⚙️ AutoFlow Agent
Multi-step LangGraph agent that handles email triage, invoice processing, and lead qualification — end to end, with human approval before every action.
LangGraph LangChain Redis FastAPI OpenAI
📊 DocIntel API
Upload any medical, legal, or financial document → structured JSON with field-level confidence scores. Sub-2s response. Swagger docs included.
HuggingFace spaCy FastAPI Docker Pydantic
LLMs & AI → LangChain · LangGraph · OpenAI API · Anthropic API · HuggingFace
ML → PyTorch · scikit-learn · Pandas · NumPy
Vector DBs → ChromaDB · Weaviate · FAISS
Backend → FastAPI · Flask · Redis · PostgreSQL
Deploy → Docker · Railway · Render · AWS
Languages → Python · SQL · JavaScript
Frontend → React · Streamlit
- 🎓 Final-year B.Tech CSE (AI/ML) · Jagannath University, Jaipur · Graduating 2026
- 💼 Open to AI/ML consulting — $500–$5K projects · Remote · IST (UTC+5:30)
- 📩 Reach me: thatssamridhi@gmail.com