prashant jain

I have 15 years of experience in the data and technology space. I started my career as a Python developer, where I built strong coding fundamentals. Over time, I moved into data analytics, working closely with business teams to generate insights. This naturally led me to data engineering, where I focused on building reliable data pipelines and managing large datasets.

For the last few years, I've been working as an MLOps engineer. My focus is on taking machine learning models from development to production—automating deployments, managing infrastructure, and ensuring models run reliably at scale.

Some of my key achievements include reducing model deployment time from weeks to hours, handling over a million predictions per day, and cutting cloud infrastructure costs by nearly 40%. I also enjoy bridging the gap between data science and engineering teams, helping both sides work together smoothly.

I'm looking for opportunities where I can apply my end-to-end experience to build robust ML systems that deliver real business impact.