Applied AI Engineer · Ph.D. Mathematics

I build AI systems
that ship.

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.

Selected Work

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Microsoft · 2024

Operations Agent

LLM-powered agentic system for operational intelligence. Built end-to-end: reward signals, evaluation framework with auto-raters, and production deployment on Fabric.

LLMs Reward Modeling Agents
Microsoft · 2023–24

Anomaly Detector

AI-powered anomaly detection for real-time streaming data. Scaled to handle enterprise-grade telemetry with low-latency inference and interpretable outputs.

ML Systems Real-Time Production
Microsoft · 2024

Operational Discovery

Automated discovery of operational patterns across time-series data. Combines statistical methods with LLM-generated insights for actionable intelligence.

Discovery LLMs Time Series

The arc

Math → Data Science → Applied AI

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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