👋 hi, i’m carter

I’ve always been drawn to making technology more accessible for everyone.

I taught myself programming the night after I saw Steve Jobs announce the iPhone. It was instantly clear that touchscreen computers were how everyone in the world was going to be interacting with technology. I vividly remember my very first language being Objective-C.. objectively a bizarre language to start with. Working with just the simulator, I shipped 4 games in the early iPhone days (one of them was a relative hit in the China market with over 100k downloads and fan-email in mandarin asking for “more levels”). My senior year of college at Carnegie Mellon, I founded Cat Facts, a texting service based on the viral meme that ended up going viral itself. I even wrote my own rudimentary word-weight categorization system for customer service auto-responses and actions.

At Airbnb, I was the first hire in their Seattle office (the 11th person in Seattle, joining a group they had acquired from a startup). It was absolutely incredible being there and helping the office grow from 11 people to almost 400 when I wanted to try something new. While there I architected the customer service chatbot and led the cross-functional team of 10 that built it. About two months after launch, COVID hit the US and every single US reservation got canceled at once. I actually got to test out the 10x load that every engineer is supposed to plan for. It worked and the bot was able to help triage and solve customers problems. This also led to co-invented a patented NLP sentiment analysis system that analyzed user sentiment during bot workflows.

At Goldfinch, I worked on a global real world asset platform, using stablecoins to give people all over the world access to credit markets and capital that would normally difficult to find. I led a team of 5 as tech lead, shipping:

• The first production implementation of non-custodial wallets controlled by passkeys
• A liquid smart contract system that hosted over $30m of customer funds at the peak
• A maximally-diversified private credit investment optimizer (which is literally the best way to describe it- a system that looked at over 10k different investments, client preferences, and used linear programming to optimally allocate them)

At Clanker, I was a founding engineer at a 4-person startup, which was a whirlwind of a year. I built the entire stack: backend, frontend, SDK, and data pipeline. I built a multi-agent system with a custom routing layer for our chatbot that’s live on Twitter and Farcaster, and designed the SDK to work for both human developers and LLMs as consumers. The system deploys thousands of tokens, serves millions of hits daily, and has an ARR of $10m+ (with over $8b in volume), but I’m most proud of all the development teams that launched and built through Clanker. Constantly on calls with all of them, I got to help them build out their products, give them advice on how to approach problems, help them design their tokens to fit their use cases, watch them get funded via the community through Clanker, and had the privelege of watching 3+ projects go on to recieve full venture funding.

Fall 2025, Clanker was acquired by Farcaster, then by Neynar, and I stayed through both transitions as a core engineer.

Something changed with agents in December 2025 and now that everyone has a computer in their pocket, it’s clear agents are the next step of how they’re going to be interacting with technology. Right now I’m going deep on multi-agent systems, and looking for ways to learn even more. I love architecting systems, mentoring engineers, baking, backcountry skiing, and watching terrible movies.