Systems that scale, data you can trust.

Over the past 12+ years, I've worked across the full data stack at some of the world's most impactful companies. At Microsoft, my data solutions touched over a billion users. At Google, I work within the Devices & Services group, driving data strategy and technical implementation that shapes real products — and is used by SVPs.

More recently, I've been building AI agents using Gemini and internal Google frameworks — including an AI workbench that helps my team automate and accelerate their daily workflows, integrated directly into Google Chat. It sits at the intersection of what excites me most: practical AI that solves real problems for real people.

My core skills span SQL, Python, Apache Spark, ETL pipelines, NoSQL, Business Intelligence, and all three major clouds — GCP, Azure, and AWS. But beyond the tools, I care deeply about the outcome: clean data, fast decisions, and systems that teams can trust.

I'm a continuous learner who thrives on collaboration, innovative thinking, and great peers — and I'm always looking to take on larger challenges, combining deep data engineering expertise with modern AI to build the next generation of intelligent systems.