About
I use ML to solve real business problems — not just to build interesting models. At Microsoft, I work on the health and quality of Azure, helping the platform stay reliable for its customers at global scale.
What drives me is understanding a business’s most important challenges, then figuring out how ML can help — quickly, cleanly, and with impact. I work iteratively: scoping tightly, shipping early, and improving based on feedback from the system, the data, and the people using it.
Translate problem
I break down complex problems into smaller, solvable chunks.
Scalable and Secure by Design
A good system is designed deliberately to be scalable and secure. I build systems that are easy to reason about, debug, and extend.
Keep it simple
I believe complexity is an outcome of interaction between simpler components.
Selected Projects
Recent Writing
Let's Connect
Always interested in discussing ML systems, sharing ideas, or exploring opportunities to build something meaningful together.