I’m a postgraduate from IIT Dhanbad with an M.Tech in Electrical Engineering, specializing in Machine Learning, MLOps, and Quantitative Analysis. My journey has been driven by curiosity, resilience, and a relentless desire to solve challenging problems.
I also took on the UPSC Civil Services, gaining discipline, strategic planning, and mental endurance—even narrowly missing the prelims by 0.17 marks. These lessons now shape how I approach challenges in work and life.
My passion for mathematics naturally evolved into Python programming, Data Science, and Machine Learning. I further refined my skills with a 6-month intensive program at Odin School, applying theory to real-world projects.
Today, I work as a Quantitative Analyst at Opendoor (on payroll of Home.LLC), building production-grade ML systems, collaborating with professionals, and exploring cutting-edge solutions.
Outside of work, I develop personal projects including:
I am passionate about transforming data into actionable insights and building scalable, impactful ML solutions that combine creativity, logic, and technological excellence.
Medical LLMs hallucinate. This system enforces grounded answers by retrieving knowledge strictly from a single authoritative textbook and tracking performance across experiments.
This project is a production-ready, agentic AI system that generates high-quality Medium-style articles using multiple LLM agents, an Editor-in-Chief orchestrator, observability, human-in-the-loop approval, drift detection, Docker, and CI/CD.
Automated ML pipelines with DVC & MLflow. Deployed on Kubernetes with monitoring via Prometheus & Grafana.
Stories GPT RAG is a Retrieval-Augmented Generation (RAG) based AI chatbot that allows users to upload story files (.txt, .pdf, .doc, .docx) or paste text, and ask context-based questions. It is built fully from scratch up to cloud deployment and monitoring.
Built a GPT-2 model from scratch including tokenization, training pipeline, and inference.
A 100% offline, fast, and lightweight fact-checking tool that verifies claims against official Press Information Bureau (PIB) fact-check data.