Now
There are only 2 more years until the permanent underclass is officially established. Maybe I (and you) will be part of it together!
Basics
Education: CS @ UCSC 2020-2023 (Yes, I completed it in only 3 years)
Work: This (more info to come soon).
Residence: East Bay Area
Open Source
I also contribute to open source, and many of the projects I've done in my free time are also open source. Here are some open source things I'm currently actively maintaining or contributing to:
- Swift Operation (A better Tanstack Query for Swift.)
- Cactus (Low-latency on-device AI inference.)
- Various other Swift libraries that some people find useful. (See my Github profile.)
- I also occassionally chip in to PointFree's libraries.
In Progress/Planned Writings
As opposed to traditional software projects which can be spun up nowadays in a matter of hours (thanks to agents), I prefer to be very methodical and take the scenic route with my writings.
All of my writings for this site are hand-crafted, and no AI is used whatsoever for generating the actual written content.
- Locality of Decisions (In Progress)
- An interactive systems design piece that introduces a conceptual framework around representation, optimization, and meaning (not spiritual, but systemical). Also explores the issues with many of today's mediums, leveraging ML/AI, and dynanicism.
Some Used Tooling
- Languages: Swift, Typescript, C++ (ML forced me), Python (ML forced me)
- Frameworks: MLX, SwiftUI, TCA, React, React Native, SvelteKit, and so on. Ok is this just sounding like the "skills" section of a resume???
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Agents:
- GPT 5.6 alternating between terra, sol, and luna on medium/high reasoning (sol for heavy lifting, terra for "let's make this specific change with some ambiguities", luna for "here's exactly what I want you to do").
- I use Pi for everything right now. Codex Desktop and Opencode were my previous daily drivers, but Pi has a larger extensibility culture that I like more. I've also tried T3 Code in the past, but it had various issues for me, mainly bugs. (Though colleagues have said it works well for them, so idk.)
- I also dabble with openweight and local models from time-to-time like GLM 5.2, Minimax M3, Gemma 4, etc. They tend to be pretty capable for many code-related tasks, but I would still leave larger tasks to the frontier (GLM 5.2 can also work for these).
- I find agents to be effective enough at building many of the things that I used to build solely by hand. Now that agents can write most UI views, business logic, IO, API endpoints, etc. without much effort, I'm freed up to build things that are harder (ie. Closer to systems programming), and where agents still struggle to produce things beyond barebones working code.
Currently Learning
- Anything related to building ML frameworks.
- World Models seem interesting.
- Psychology, especially around "intrinsic motivation" (via books like this [academic, not self-help]).
Human Info
I happen to be part of the "human" species, here is some information about my particular build.
- Genetics: Male, 5'10, 165 lbs (prev 200 lbs 🥶)
- Hobbies: Sleeping, Zone 5 Cardio, Softball, Mountain Hiking