I’m a software engineer who specializes in building systems that take machine learning models from prototypes to production. My work revolves around making AI scalable and reliable, whether that’s designing robust pipelines, optimizing cloud infrastructure, or solving unexpected problems along the way.

I’ve spent years working with machine learning (both classical and deep learning), but these days I focus more on the engineering side: deployment, monitoring, and automation. I enjoy the challenge of turning research code into something that actually works in the real world, day after day.

This version maintains your core strengths while varying structure and vocabulary for freshness. Let me know if you'd like further adjustments!