Senior Full-Stack Engineer building AI-powered products — React · Next.js · TypeScript on the front, Node.js · FastAPI · Python on the back. 6+ years shipping across SaaS, healthcare, e-commerce, Web3 and real-time analytics, on a tech foundation that goes back to 2010.
My current focus is LLM systems in production — retrieval (RAG), agentic workflows and multi-model orchestration — built, deployed and operated end to end, most of it self-hosted on a Proxmox homelab.
🟢 Open to remote roles (US/EU time zones) — contract or full-time. Based in Brazil.
Frontend: React · Next.js · TypeScript · Vue/Nuxt · Tailwind CSS Backend: Node.js · FastAPI · Python · tRPC · Prisma · PostgreSQL AI / LLM: LangChain · multi-provider LLMs · RAG / retrieval · conversational memory · multimodal · agentic workflows Web3: Solidity · Hardhat · ethers.js · ERC-721 Infra: Proxmox homelab · Docker · Ansible (IaC) · Vercel · CI/CD
- tradeOS — real-time market-context engine: 51 assets × 5 timeframes over live Binance data, with a decision layer for trend, liquidity zones and setup readiness.
- Mr. Knowledge — live-audio desktop copilot: Rust capture pipeline, real-time transcription and streaming LLM suggestions in a low-latency overlay.
- Signals — self-hosted signal intelligence: Telegram (MTProto) ingestion into PostgreSQL, plus a Claude vision stage that reads price levels straight from chart screenshots.
- Books — an LLM pipeline that turns EPUB/Markdown into structured notes, served in a Next.js editorial reader and auto-deployed on the homelab.
- Homelab — Proxmox + Docker + Ansible (IaC), with a custom Next.js/React Flow ops dashboard: live topology, service health, GitOps auto-deploy and a Telegram AI agent.
→ 20+ more, with write-ups, at leonidasamaro.com