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Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Pair Extraordinaire

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augbastos/README.md

Augusto Bastos

Applied AI Engineer

Python TypeScript MCP FastAPI PostgreSQL Supabase Cloudflare Docker

Limerick, Ireland · Portfolio · LinkedIn · CV · hello@luckycat.ie

devcard: live stats from my own AI-assisted coding, updated from local hooks

Live from my own coding hooks: lines my agents and I write, rewrites included · powered by devcard

Selected work

Deputy logo Deputy MCP  Python FastMCP OAuth 2.0
Self-hosted MCP server for your Deputy roster and timesheets.

Wavr logo Wavr  Python FastAPI MCP
Explainable room presence, on hardware you own.

AFKLocker logo AFKLocker  C# .NET Framework Win32
Lock the PC, close the lid, keep agents running.

devcard  TypeScript Cloudflare Workers Cloudflare D1
Live stats card from real AI-assisted coding output. It's the card above.

Open to AI Engineering and Applied AI roles · Portfolio & CV · LinkedIn

Popular repositories Loading

  1. rag-demo rag-demo Public

    Minimal, working RAG pipeline: chunk → embed → pgvector → retrieve → grounded LLM answer. Clone-and-run.

    Python 1

  2. augbastos augbastos Public

    My GitHub profile

    1

  3. scpe scpe Public

    Verifiable provenance for digital artifacts. Prove who made a contribution and that nothing was tampered with - offline, no server, no accounts.

    Python 1

  4. lucky-cat-case-study lucky-cat-case-study Public

    How I built Lucky Cat — a multi-tenant restaurant SaaS (Supabase RLS, Stripe Connect, Cloudflare). Architecture + decisions, no source.

  5. pitchpilot-case-study pitchpilot-case-study Public

    PitchPilot — a field-sales copilot (RAG over pgvector + Gemini). Architecture, debugging, decisions. Runnable technique in the rag-demo repo.

  6. etica etica Public

    Multi-agent book production pipeline for Spinoza's Ethics — pipeline + Part I sample (full adapted prose is a separate paid edition, not in this repo)

    Python