A decade of data.
Five industries.
One clear conviction.
I've spent my career in the unglamorous, load-bearing work that determines whether data and AI initiatives succeed or fail. Not in demos, but in production, at scale, under pressure.
My path has taken me across enterprise technology, advertising, EdTech, media and streaming, and quantitative finance. Each industry taught me something different about how data problems manifest, and confirmed that the same foundational principles solve them everywhere.
That conviction shapes everything I do as an advisor: start with the foundation, build for scale, and resist the temptation to chase model sophistication before your data is ready for it.
I earned my doctorate while working full time, building data systems by day and doing research alongside it. I have never had the luxury of separating theory from practice. That parallel track is the foundation of how I think.