SENAInstructor — Software Programming
Technical instruction in programming and software development. Competency-based curriculum design, hands-on labs and active methodologies to build measurable skills.
Full stack developer, AI and DevOps
Carlos
Gordillo
From model to product. I design and ship complete digital products: frontend, APIs, data and artificial intelligence, on my own infrastructure.
01 — Profile
From data to product
Full Stack and AI developer focused on building complete products: interfaces, APIs, data and deployment. I work with React, TypeScript, Node.js and Python, and integrate deep learning models — LSTM, Transformers and convolutional networks — to turn data into decisions.
I design and operate the infrastructure behind those products: Docker containers on self-managed Linux servers, PostgreSQL, ETL pipelines with n8n, and secure exposure through Cloudflare Tunnel and Zero Trust policies. I have processed over 50,000 records and shipped real-time monitoring dashboards.
Complete systems, not isolated layers.
00Projects
0ETL records
001st place DL
00Years
- React
- Next.js
- TypeScript
- Node.js
- Express
- Python
- Deep Learning
- LSTM / Transformers
- CNNs
- Pandas / NumPy
- Jupyter
- HTML5 & CSS3
- PostgreSQL
- SQL
- ETL Pipelines
- n8n · Workflows
- REST APIs
- Advanced Excel
- Docker
- Docker Compose
- Cloudflare Tunnels
- Zero Trust
- Git / GitHub
- Linux · VPS
02 — Experience
Where I have built
Universidad de PamplonaAgreement Manager · Data Automation
Full Stack architecture and implementation on a self-managed Linux server with Docker: backend (Node.js/Express), frontend (React + TypeScript) and PostgreSQL. ETL pipeline design with n8n for massive spreadsheet ingestion — over 50,000 records — with transformation, validation and incremental loading. Secure exposure with Cloudflare Tunnel and Zero Trust policies.
Independent Technology ConsultingFull Stack Developer & AI
Product development with Next.js, Node.js and Docker on a self-managed Linux VPS. Process automation with Python and n8n. Integration of machine learning models — financial time series with LSTM and Transformers, convolutional classification — and real-time monitoring dashboards.
03 — Pipeline
From commit to deploy
A change enters once and follows the same path: install, lint, test, build, scan and deploy. If anything fails, it never reaches production.
// ci/cd pipelinegithub actions · demo
commitgit
installpnpm
linteslint · tsc
testvitest
buildvite
scantrivy
deploydocker · cloudflare
monitoruptime
Step 01 / 08
commit
Every push to main triggers the workflow.
git push origin main$ git push origin main
main · HEAD
04 — Projects
Recent work
Four products, one standard: they should feel right.
01 — 04
05 — Blog
Latest articles
Technical notes on artificial intelligence, data and infrastructure, without filler.
From Time Series to Product
A complete guide to taking a time-series model from the notebook to an observable service: data, validation, an LSTM + Transformer ensemble and operations.
Docker for Developers — The Essentials
A practical Docker guide for development and deployment: images, Dockerfile, Compose, data, networking, security, CI and common mistakes.
06 — Contact