born and raised in vancouver, canada, i now live in pittsburgh for most of the year pursuing my undergraduate degree.

my hard skills are in computer engineering (software, hardware, embedded, protocols/networks) and finance (capital markets, commodities, valuation & business analysis, international trade & logistics), with a working background in design and marketing.

most recently, i spent a summer in shenzhen at a private fund doing quantitative research on chinese commodity futures markets. lately, i've gotten very into prediction markets and ai/ml research, which is where most of my free time goes now.

i also currently run voxpop! @ cmu, a personal research project testing if students can outperform the average prediction market participant at the subject they study.

outside of work i golf, swim, ski, play tennis and pool, lift, and cycle. i'm also very into fashion and poetry.

below, a non-exhaustive list of tools i'm good at:

python, c, c++, javascript, typescript, java, sql, bash (i pick up other languages fast)

avr and esp microcontrollers, mos 6502, minecraft redstone & command block, autodesk eagle, fusion360

reactjs, nextjs, django, fastapi, mongodb, rest apis, tailwind, html, css

photoshop, indesign, premiere pro, ableton live, blender

i’ve been looking into agentic coding tools and workflows, but most of what i do is signals research and low-level, correctness-critical code, so i still do the bulk of it by hand. i’m curious where these tools fit in once they’re good enough to trust with the parts that can’t be wrong.