I am an MLOps Engineer with an M.Tech from IIT Kharagpur (GATE AIR 82) and 3.5 years of experience in mission-critical systems engineering at Bharat Electronics Limited (BEL). My background in aerospace engineering instilled a rigorous, highly disciplined approach to complex systems, which I now apply to designing production-grade machine learning infrastructure.
My technical expertise spans the end-to-end MLOps lifecycle. I specialize in automating robust ML pipelines and deploying scalable AI models using AWS, Docker, Kubernetes, and GitHub Actions. In my recent work, I have architected automated model quality gates, data reproducibility pipelines using DVC and MLflow, and SRE-style observability stacks with Prometheus and Grafana.
I am deeply passionate about bridging the gap between data science and robust software engineering. My goal is to bring my focus on zero-downtime deployment and scalable architecture to a product-driven engineering team building data-driven products at scale.
