About
About Carlos Gordillo
Mechatronics engineer from Universidad de Pamplona and full stack and AI developer. I build complete products and operate the infrastructure behind them.

- Full name
- Carlos Manuel Gordillo Mora
- Location
- Puerto Boyacá, Boyacá, Colombia
- Focus
- Full Stack & AI development
- Education
- Mechatronics Engineering, Universidad de Pamplona
- Languages
- Spanish native · English technical
- Availability
- Open to projects and positions
How I got here
I am a mechatronics engineer, graduated in April 2026 from Universidad de Pamplona. Mechatronics taught me to think in systems that sense, control and talk to each other; software let me carry that same logic into products anyone can open in a browser.
I started by automating processes that were done by hand. At Universidad de Pamplona I designed and shipped the institutional agreements system: a Node.js backend, a React and TypeScript frontend, PostgreSQL, and n8n ETL pipelines that processed more than 50,000 records.
Today I teach programming at SENA and work as an independent consultant. I build with React, Node.js, Python and Docker, integrate deep learning models, and operate the whole stack: Linux servers, databases, automation and deployments.
How I work
Complete systems, not loose layers
I would rather deliver the whole product: interface, API, database and deployment. If something breaks in production, it is inside what I built and what I answer for.
Infrastructure is part of the product
Docker containers on self-managed Linux servers, PostgreSQL, Cloudflare Tunnel and Zero Trust policies. I deploy and operate what I build instead of handing it off and disappearing.
Models have to be useful
I train LSTMs, Transformers and convolutional networks, but the work ends when the model runs inside an observable service, not when the chart looks good in a notebook.
Education
Mechatronics EngineeringUniversidad de Pamplona
Pamplona, Norte de Santander · Graduated April 2026. Coursework in systems, control and automation.
Recognition
First place — Deep Learning contestUniversidad de Pamplona
University recognition for a deep learning project.