Automation & AI
Workflows, agents and document systems
Full-Stack Developer · Python & TypeScript
I design, ship, and operate full-stack systems in production — FastAPI and Next.js services, asynchronous processing, and LLM-backed automation where it measurably removes manual work.
building practical systems
$ about-me
I'm Alejandro Padilla, a full-stack developer and Computer Science student at Universidad Nacional de Loja in Ecuador.
I build and operate systems that real clients depend on: domain modeling, backend services, asynchronous job processing, authentication, automated tests, and deployment. I also apply AI as an engineering tool — LLM-backed automation and agent-orchestrated development workflows — when it removes measurable manual work.
EN B2 · ES nativePython, FastAPI, Celery, PostgreSQL, TypeScript, Next.js, Docker
LLM-backed automation, agent-orchestrated workflows, computer vision with YOLO
Part-time and contract work, remote with full overlap on US time zones
$ tech-stack
Workflows, agents and document systems
APIs, persistence and data handling
Interfaces and full-stack apps
Daily development workflow
Documented, reproducible software
$ featured-projects
End-to-end computer vision lab for exploring YOLO model complexity, inference behavior and practical deployment tradeoffs through an interactive web interface.
End-to-end frontend implementation for a local bakery, designed to present its catalog, business-order offering and direct WhatsApp conversion path.
Python toolkit that automates repetitive report production while preserving human review and responsibility.
Bilingual, responsive portfolio built to present software capabilities and project evidence clearly to clients and hiring teams.
$ run hospital-appointment-inventory
Source and CLI demo documented
Documented Java CLI that models appointment, patient and inventory workflows over hospital-style CSV datasets.
$ run siged
Source and setup documented
Academic teacher-test implementation of a SIGED-style education management system, built with a Django backend and a React frontend.
$ run hmm-speech-recognition-research
Research document and references documented
Academic research on HMM-based speech recognition and its evolution toward hybrid and deep learning models, written and typeset in LaTeX.
$ run search-algorithms-java
Source and setup documented
Java academic project implementing sequential and binary search over arrays and linked lists using CSV datasets.
$ contact
Have a system to build, a production codebase that needs an extra engineer, or a part-time role that fits this focus? Send the problem, scope or role details and I will respond with relevant questions.