Featured Work
Products in production
Each of these runs today, on hardware I own, serving real users — starting with me.
Media pipelines with GPU workloads, native audio plugins, network tooling, a Windows/Linux media player — all designed, tracked, and deployed through Maestro, my self-hosted agent orchestrator that turns GitHub issues into reviewed, merged, deployed PRs. Nine products, one control room, minimal hands on keyboard.
Each of these runs today, on hardware I own, serving real users — starting with me.
I play guitar and record music — so a lot of the tooling scratches real studio itches: DSP plugins in C++/JUCE, CoreAudio utilities, and rehearsal automation.
Studio-grade chromatic tuner (CLAP / VST3 / AU) with a rangefinder metaphor — pitch locks at a center reticle like a camera aperture. Custom tunings for 4–9 strings, 432–448 Hz reference, accessible non-color cues. Passes clap-validator 16/0.
A professional delay plugin (VST3 / AU) with extensive DSP: modulation, analog-voiced emulation, tempo sync. C++20, CMake, JUCE 8 — validated with pluginval at maximum strictness and Steinberg's VST3 validator. macOS Apple Silicon first, Windows next.
Menu-bar utility that routes the clean DI signal from a BOSS Katana over USB to the Mac's output via CoreAudio — no effects, no modeling, no DAW required. Auto-detects the amp, corrects clock drift, shows live buffer and peak diagnostics in the menu bar.
Upload audio or paste a YouTube URL; get 4-way stem separation (Demucs), BPM detection, waveform trimming, and a generated .dawproject that opens in Studio One, Bitwig, Reaper, or Cubase — with a DAW-style mixer for instant solo/mute preview in the browser.
A Telegram-first AI agent as a single Go binary — a ground-up rewrite of a 197 MB TypeScript assistant into 18 MB that starts in 15 ms. Multi-model routing, durable jobs and cron, semantic memory, and self-evolving skills behind a safety-audit gate.
A shopping companion for musicians importing gear from Thomann: builds a virtual cart with real-time predictions of total landed cost — shipping, customs, and fees — then tracks each order through delivery and learns from actual costs to sharpen the next prediction.