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.
Automated ML pipelines with DVC & MLflow. Deployed on Kubernetes with monitoring via Prometheus & Grafana.
Built a GPT-2 model from scratch including tokenization, training pipeline, and inference.
Implemented a retrieval-augmented system for intelligent PDF querying with embeddings + LLM.