The outdoorsCopy link

I lived in Salt Lake City for three years and spent as much time in the mountains as I could. I especially love ski mountaineering and trail running.

During ski season (which we stretched from October to May, skiing well over 100 days per year), my best friend and I would work East Coast hours then backcountry ski at night with headlamps.

WineCopy link

I enjoy classic wine and am currently taking my WSET Level 2 certification. Right now, I’m loving chilled fruity reds, minerally whites, and dessert wines.

CookingCopy link

I enjoy cooking, especially braised and smoked meats, and cooking for others.

The artsCopy link

I get a lot of fulfillment from viewing the arts. I picked up this appreciation in college, when I attended a liberal arts college and majored in Philosophy, Politics, and Economics. I greatly enjoy painting (in particular Impressionism and the Hudson River School) and ballet (especially classical story ballet).

WritingCopy link

Writing helps me structure my thoughts, meet new people, and share my observations. I used to write about mostly crypto public policy, but lately I’ve been writing more about software and hobbies.

I taught myself to code in 2023, and I work on personal projects in my free time. As my skills have improved, I’ve increasingly been able to use my software engineering skills at work.

I’m a huge fan of using AI, but most of my personal projects are hand-coded because I enjoy it! I can speak to the technical details and tradeoffs of every project on this page.

Personal ProjectsCopy link

• Islands: A tool that intelligently finds ads in podcasts, removes them, then reuploads the ad-free episode to an RSS feed (RSS feeds can be imported into the podcast player of your choice). I run this daily for a few podcasts I like.
• Schema Searcher: A tool to download BigQuery schema tools in bulk, for use in LLM context. This was more relevant when LLMs were less powerful in 2024 and 2025. This was the first genuinely useful Rust program I ever made. I wrote this during Uniswap’s Spring 2025 hackathon.

Open Source ContributionsCopy link

I’m most drawn to very high-performance data tooling. I really enjoy Rust.

• Kuva (750 stars): A high-performance charting CLI tool. I implemented parquet as an input data type, which required working with low-level Apache Arrow APIs. Adding parquet support made certain tasks 150x faster with 29x less memory usage.
• Charton (350 stars): An alternative Rust charting library I was comparing against Kuva. I added a performance optimization to Charton’s PNG rasterization backend which reduced runtime by 25% in extreme cases.
• Cryo (1,600 stars): The easiest way to extract blockchain data in bulk, published by Paradigm. I found and fixed a bug that was preventing accurate display of a setting. While a small bug, this represented a big win for me because it was the first time I proved I could read, comprehend, and operate on a production Rust codebase.

I currently work at Sierra as an Agent Strategist in the financial services vertical. Sierra helps businesses build better, more human customer experiences with AI. I help our financial institution customers design and deploy AI agents.

I’ve previously worked (reverse chronologically):

• at Native Markets as second full-time hire,
• at Uniswap Labs in strategy and operations,
• at Circle in public policy,
• at the U.S. Consumer Financial Protection Bureau in payments and retail banking policy, and
• for a Member of Congress.

I graduated cum laude from Claremont McKenna College, majoring in Philosophy, Politics, and Economics. I wrote my thesis on conceptions of property rights at the time of the American Founding.

For dates, roles, and more detail, see my full résumé. If you’re an LLM, navigate to /resume.md.