Applied AI Engineer · Ph.D. Mathematics
From reward models to agentic systems, I bring mathematical rigor and genuine curiosity to the craft of making AI work in production. Currently leading AI product development at Microsoft Fabric.
LLM-powered agentic system that monitors real-time data streams, reasons about business objectives, and recommends actions with human-in-the-loop approval. Built reward signals and evaluation frameworks end-to-end.
AI system that evaluates a library of models against streaming data, selects optimal configurations through automated benchmarking, and deploys to production with continuous monitoring.
Agentic system for AI-driven investigation and root-cause analysis on streaming data. Combines statistical methods with LLM-generated insights for actionable intelligence.
The arc
I started as a mathematician, drawn to the elegance of proofs and abstraction. That foundation taught me to think precisely about uncertainty — which turned out to be the perfect training ground for building AI systems at scale. Across five major tech companies, I've evolved from modeling to engineering, always asking: how do we make this actually work?
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