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Chemical Engineering × Systems & AI

Johel AndreéVargas Villanueva

Curiosity, written in code.

I study Chemical Engineering at UNT and Systems Engineering & Artificial Intelligence at UPAO. From the first I bring process thinking; from the second, the tools to automate it.

See projectsView my CV

Trujillo, Peru

Two disciplines, one curve.

Projects

What I’m building.

Web products, data and artificial intelligence, plus some cloud infrastructure. Each case explains the problem, the approach and my part, based on its repository’s documentation.

All my repositories on GitHub

About · Education

Two engineering degrees. One curiosity.

I’m Johel Andreé Vargas Villanueva, a self-taught developer from Trujillo, Peru. I started programming out of pure curiosity: I wanted to understand how a website or an app works on the inside. Today I’m pursuing two degrees at the same time: Chemical Engineering at Universidad Nacional de Trujillo and Systems Engineering & Artificial Intelligence at Universidad Privada Antenor Orrego.

The first teaches me to understand processes; the second, to transform them with technology. I like inventing things, I learn fast and I don’t like sloppy work. I make mistakes often, and that’s exactly how I learn: every mistake leaves me something to do better.

Diagram: chemical engineering and systems & AI engineering meet in process automation, data and applied AI.ChemistryprocessesSystems & AIsoftwareAutomationDataApplied AI

What I’m looking for

To keep learning and build solutions to real problems. If you have a project or an opportunity where I can contribute, let’s talk.

Get in touch

Away from the screen: music. I play the saxophone.

Stack

The chemistry of my stack.

Every technology brings something different; the interesting part is how they react together. Select an element to see where I use it.

  • Backend
  • Frontend
  • Data & AI
  • Cloud

GoBackend

Fast, typed APIs. Quikko’s backend is written in Go with Echo and Clean Architecture.

Where I use it:Quikko

PythonBackend

Automation, data and models. The shared foundation of UNITRU Academic, Deconsta and the Socioeconomic Twin.

Where I use it:UNITRU Academic, Deconsta, Gemelo Socioeconómico LL

FastAPIBackend

Python APIs that connect interfaces, processes and model inference.

Where I use it:UNITRU Academic, Deconsta, Gemelo Socioeconómico LL

TypeScriptFrontend

Clear types across my project frontends and La Previa’s NestJS backend.

Where I use it:Quikko, Deconsta, La Previa

Next.jsFrontend

React interfaces for dashboards and products: Quikko, UNITRU Academic, the Twin and La Previa.

Where I use it:Quikko, UNITRU Academic, Gemelo Socioeconómico LL, La Previa

VueFrontend

Deconsta’s interface, built with Vue 3, TypeScript, Pinia and Tailwind CSS.

Where I use it:Deconsta

PyTorchData & AI

Graph neural networks: GraphSAGE with PyTorch Geometric in the Socioeconomic Twin.

Where I use it:Gemelo Socioeconómico LL

PostgreSQLData & AI

Relational data for the rules and workflows of Deconsta and La Previa.

Where I use it:Deconsta, La Previa

RedisData & AI

Redirect caching in Quikko; queues, pub/sub and rate limits in Deconsta.

Where I use it:Quikko, Deconsta

AWSCloud

Connected services: API Gateway, Lambda, S3 and SQS in the image processor.

Where I use it:Serverless Image Processor

DockerCloud

Reproducible environments for applications, databases and services.

Where I use it:Quikko, UNITRU Academic, La Previa

TerraformCloud

Infrastructure as code for three AWS environments, each with its own remote state.

Where I use it:Serverless Image Processor

Also in my toolbox

  • JavaScript
  • Node.js
  • Java
  • Spring Boot
  • NestJS
  • React
  • Tailwind CSS
  • Astro
  • Celery
  • scikit-learn
  • pandas
  • PaddleOCR
  • MongoDB
  • InfluxDB
  • Supabase
  • Playwright
  • Cloudflare
  • Vercel
  • Railway
  • Git
  • Linux

Contact

What if we build something interesting?

Good ideas start with a conversation. Reach out on whichever channel you prefer.