With over a decade of experience in the Ruby on Rails ecosystem and backend engineering, I currently specialize in the convergence of traditional software engineering and Artificial Intelligence.

I build agentic workflows (LangChain, n8n, Anthropic Claude, Gemini, Amazon Bedrock) and design robust DevOps infrastructures — from zero-downtime Kamal 2 deploys to a fully self-hosted home lab exposed through a single Cloudflare Tunnel with no open ports. When I'm not optimizing containers or integrating APIs, I enjoy structured swim training and exploring the intersection of technology and brand development within the hospitality and gastronomy sector — currently building the digital presence for Resplandor, a Colombian restaurant in Medellín.

An interconnected view of my tech stack, projects, and areas of expertise.

A personal learning environment where I explore infrastructure, networking, and container orchestration end-to-end. Everything is designed, debugged, and documented with AI assistance.

• Deploying a single persistent outbound tunnel with cloudflared to bypass CGNAT restrictions, eliminating the need for any open port on the home network.
• Architecting internal Docker networking so a freshly deployed Kamal container re-joins the right network-alias inside the proxy network without manual intervention.
• Tuning Kamal's drain_timeout well above the default so in-flight AI plan generations (up to ~120s) survive a mid-generation deploy instead of leaving jobs stuck.
• Running dev and prod against the same external Postgres instance safely, with clear guardrails around DATABASE_URL vs DEV_DATABASE_URL.

Beyond the Home Lab, Artificial Intelligence is the core of my professional workflow, acting not as a replacement, but as an engineering accelerator.

  ┌─────────────────────────────────────────────────────┐
  │              AI Integration Stack                   │
  │                                                     │
  │  LangChain ────────► Agent Orchestration            │
  │  Anthropic Claude ─► Reasoning & Generation          │
  │  Gemini 2.5 Flash ─► Primary provider (multi-model)  │
  │  Amazon Bedrock ───► Multi-model API Gateway         │
  │  RAG Pipelines ────► Embeddings + Vector Search      │
  │  n8n ───────────────► Multi-step Agentic Workflows   │
  └─────────────────────────────────────────────────────┘

Flagship application: Advance Fitness, a gym management platform (Rails 8.1 · Ruby 4.0.5) with AI-generated, editable training and nutrition plans through a multi-provider adapter layer (Gemini by default, Claude as fallback), deployed via Kamal 2 on the home lab and backed by Supabase.

Alongside engineering, I design and build the digital presence for small hospitality and e-commerce brands — single-file, high-conversion landing pages with a distinct brand system per client.

Stack: single-file HTML · Tailwind CSS (JIT via CDN) with custom brand tokens · Alpine.js · Lucide Icons · AOS scroll animations · Google Fonts.