About me.

I have always liked solving problems like puzzles: understand how the pieces fit, find what is slowing things down, and build something that helps. AI gives me a lot of those puzzles. I follow the tools closely, try them in real workflows, and learn by building. Working across businesses has taught me to connect that curiosity to what a team actually needs.

That instinct started early, washing dishes and reselling sneakers, and developed through building research and community tools. The most useful lesson was learning to connect technology to a business outcome: a clearer workflow, a better customer experience, or a new source of revenue.

Markets gave that instinct a sharper foundation. In equity research at a long/short hedge fund, I researched companies, tested investment ideas, and built tools to bring scattered research into one place. I learned to question assumptions and distinguish a persuasive story from evidence.

At a financial communications firm, I helped shape AI strategy, built an internal AI platform and 11 production apps, and trained teams around their real workflows. Adoption reached 61% across a 400-person firm. Shipping mattered, but helping people use the work mattered just as much.

Today I work in AI & Marketing at BrachyClip, a pre-clearance medical device company. I bring the same approach to positioning, investor materials, and operational workflows: learn the constraints, work closely with the team, and make useful improvements.

I want to bring AI strategy, market fluency, and hands-on execution to one team where I can contribute, learn from experienced colleagues, and grow over the long term. I work best when I understand the goal and can take responsibility for a useful piece of it. Outside work, I build apps and games, follow markets, and keep finding new puzzles to work through.