Software Engineer · Engineering Manager · AI Engineer
# ───────────────────────── jorge@github ─────────────────────────
Role: Software Developer & Engineering Manager (Front-end + AI)
Uptime: 8+ years shipping production software
Host: Medellín, Colombia (UTC-5)
Kernel: Autonomous LLM agents · RAG pipelines · Inference layers
Status: Open to AI Engineering / Tech Lead roles
Education: B.Sc. Informatics Engineering — Universidad Rafael Belloso Chacín
# ───────────────────────── Languages ─────────────────────────
Languages.Programming: TypeScript, JavaScript, Python
Languages.Frontend: React, Next.js, React Native, Expo/EAS, Astro
Languages.Backend: Node.js, Express, NestJS, FastAPI, GraphQL
Languages.Data: PostgreSQL, MySQL, NoSQL, Vector Databases
Languages.Real: Spanish (Native), English (Full Professional)
# ───────────────────────── AI Engineering ─────────────────────────
AI.Agents: LangGraph, multi-agent orchestration, browser agents (Stagehand)
AI.Pipelines: RAG, ensemble models, ML inference layers
AI.Delivery: Architecture, model selection, deployment, observability, cost control
# ───────────────────────── Ops & Tooling ─────────────────────────
Cloud: AWS, Google Cloud, Cloudflare, Vercel
Build: GitHub Actions, Turbo, Vite, Webpack, Rollup, Babel
Testing: Jest, Vitest, Testing Library, Cypress, E2E
Design: TailwindCSS, Shadcn, Design Systems, Accessibility (ARIA), Figma
Web3: ethers.js, IPFS, Thirdweb
# ───────────────────────── Leadership ─────────────────────────
Leadership: Agile, OKRs, roadmapping, mentoring, cross-functional alignment
Teams: Squads of up to 6 engineers, plus design, QA and product- Autonomous QA agents (MUTA) — a Jira webhook fires on
Ready for QAand dispatches up to 10 concurrent browser-based LLM agents through an Express + p-queue orchestrator. Each agent writes its own test plan, executes it with Stagehand and reports structured results back to Jira, cutting manual QA effort and shortening release cycles. - Election-forecast ensembles (Avvy) — led the v2 rewrite of an AI election-prediction tool: data pipelines, ensemble models in Python and the rollout that correctly forecast U.S. presidential and Senate results.
- Synthetic audiences — an AI product that lets brands test messaging on virtual cohorts before launch. Designed the APIs, built the ML inference layer and set up the DevOps pipelines.
- Servio App (Co-founder, CEO/CTO) — React Native + Expo MVP, 50+ discovery interviews, 400+ professionals screened through a 70% automated selection funnel and a Next.js admin panel.
- Web3 "Netflix" — movies minted and sold as NFTs with sub-second playback for purchased titles, plus an IPFS hosting layer that cut storage costs by ~70%.
| Years | Role | Where |
|---|---|---|
| 2025 → 2026 | Engineering Manager | MUTA |
| 2025 → 2026 | Co-founder · CEO/CTO | Servio App |
| 2022 → 2025 | Full-stack Developer (AI & Web3) | Avvy Tech |
| 2022 | Head of Engineering | Beu |
| 2021 → 2022 | Senior Front-end Developer | Beu |
| 2020 → 2021 | Mobile Developer | Global Process Management (NZ) |
| 2019 → 2020 | Web & Mobile Front-end Developer | Lintellect |
AI & Data
Frontend
Backend & Data
Cloud, CI & Testing
Building AI products end to end — from architecture to observability.
Open to remote-first AI Engineering and Tech Lead roles · Let's talk on LinkedIn