Mohammad Faraz Rajput

I’m a final-year B.Tech AI student with hands-on experience in computer vision, LLM-powered agents, and end-to-end ML deployment via Docker and AWS. I focus on turning models into production-ready systems—fast to iterate, reliable to run, and measurable in impact.

In MAARS (Multi-Agent Assisted Registration System), I built a 6-agent LangGraph system across a 3-layer stack (SQLite, FAISS RAG, OCR ingestion). Multi-source ingestion and OCR pipelines cut registration time from 48–72 hrs to ~3 minutes, achieving a 99.9% reduction.

As AI/ML Tech Lead in the Kurtosis Club, I led ML workshops for 50+ students across training and deployment pipelines while strengthening fundamentals in PyTorch and OpenCV. I’m now targeting ML Engineer roles where I can apply my MLOps skills (FastAPI, CI/CD, MLflow, DVC) to deliver real-world solutions.