Software Developer — Bitcliq
Features and full applications across 7+ projects: Flask and Node.js APIs, React and C# frontends, React Native, and production debugging for external clients.
A day-ahead forecasting system for Portuguese electricity demand and MIBEL market prices, running autonomously on free-tier infrastructure. Four public data sources ingested daily, leakage-free rolling-origin evaluation, conformally calibrated intervals, and every forecast stored immutably and scored in public against outcomes.
Built end to end with AI-assisted development (Claude Code), with me as architect and reviewer; design decisions recorded as ADRs in the repository.
What did the Portuguese state decide today? An autonomous LLM system over the official gazette (Diário da República): every morning it ingests the day's acts, classifies them by theme, summarizes each in plain language with citations to the official PDF, and publishes a digest whose accuracy is measured continuously — number-grounding checks, citation validity, coverage — on a public accuracy page.
Same design DNA as energia-forecast, applied to LLM engineering: evals designed before prompts, immutable outputs, free-tier strict.
Features and full applications across 7+ projects: Flask and Node.js APIs, React and C# frontends, React Native, and production debugging for external clients.
OCR and document-processing tools for financial documents with Python, Tesseract, OpenCV and TensorFlow.
I write up what I build. First piece: The model was the easy part — notes from building energia-forecast, from backtests that lie by default to the scheduler that failed in production. All writing →