i'm a product engineer who loves chasing the thrill of 0→1. i enjoy turning things around—especially the messy, overlooked ones that quietly dare you to try.

i care deeply about distributed systems - and even more when it intersects with machine learning. when i'm not coding or whiteboarding, you'll probably find me reading non-fiction, writing, or playing badminton.

this is my tiny corner on the internet where i share thoughts, notes, or works in progress. if something resonates - hit me up.

tl;dr

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* oversaw product and investor relations at a $10M ARR startup
* somehow ended up winning more product case competitons than hackathons
* made up for it by shipping a vector DB with HNSW indexing on top of Chrome's IndexedDB
* hit front page of Hacker News, and lived to tell the tale
* shipped open-source competitive intelligence infrastructure for teams
* built a tiny SDK that lets you run inference right inside your browser
* also made an ios app that monitors your posture using your airpods motion sensors
* built a toolkit to help engineering managers stop flying blind
* shipped a tool to help teams transform unstructured data into usable datasets
* built chaos engineering toolkit for teams - re-implemented chaos monkey -
* implemented a B-tree-based database from scratch, because why not?
* shipped a platform to streamline micro private equity buyouts - streamlining due diligence
* built an incident management platform designed for scale-ups

now

* currently i'm heads down building subsignal - helping VCs track and reconnect with startups they passed on
* it's part utility, part ubiquity, and fully an excuse to avoid building a UI
* i also work at Couchbase, owning all things model serving and inference
* i love to bring things to life and am notorious for blowing past Cursor credits at work and camping out on the Cursor's leaderboard.
* shipped 3 out of 5 major undertakings in the last 2 years - from unstructured data service to model serving and inference
* outside of that, i'm trying to learn about distribution - how to get people to care
* other than that, i'm building my writing muscle, reading more consistently, and trying not to burn out
* somehow, i've managed to gain a rep - someone who takes extreme ownership, and holds the bar high (and then raises it slightly out of reach)
* i'm a big believer of brute force and have a knack for figuring things out. especially when there are no playbooks and you're on your own.
* currently, i'm trying to get better at the less-talked-about half of the job - managing up, and bringing everyone along

“browser based ml inference with openai compliant api. run models like deepseek, llama 3.2, nomicembed, kokorotts, and more directly in the browser without server dependencies.”

— tinylm, browser-based ml inference engine, wizenheimer