Work

What I built and where it runs

Products and systems in production, plus a lab of experiments. Every card links to something you can open and check for yourself — a store listing, a live deployment or the source code.

Live in both stores

In production

Solaris A/V Engine LIVE

Audio-visual QC in the browser, deployed in an EdTech pipeline that delivers thousands of hours of content per month: real-time RGB Parade, Waveform and Vectorscope on Canvas, byte-range streaming proxy, optimistic locking for multi-analyst queues, 129 tests in CI.

  • React
  • TypeScript
  • Node.js
  • Firebase
  • Vitest ×129
Case study →

Noite dos Autores

Contest platform for a magazine: landing page, lead capture with dedupe and scoring, transactional email and deploy pipeline.

  • Cloudflare
  • KV
  • TypeScript
source ↗

Zimny Admin

WordPress plugin suite that drives the magazine app: custom post types, REST endpoints, push notifications, advertising and PT/EN/ES translation.

  • PHP
  • WordPress
  • REST
source ↗

Rubethyst Snap

Media ingest as a service: yt-dlp + ffmpeg engine, FastAPI API, Celery workers, progress over SSE, signed delivery links, quotas and abuse controls.

  • Python
  • FastAPI
  • Celery
  • Docker
source ↗

ForgeKit Bots

Serverless Telegram bots on Cloudflare Workers with a shared TypeScript core — transcription, media tooling and credit handling.

  • Cloudflare Workers
  • Telegram
  • TypeScript
source ↗

Lab — experiments

Small offline-first tools, each one wrapping a real engine written in another language (OCaml, Prolog, COBOL, Fortran, Zig, Lua, Nim…) and compiled to WASM or JS. These are learning experiments, not products — the repositories report JavaScript because that is the compiled output.

Open the list (~20 tools)
All repositories on GitHub →

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