Automation & AI
Workflows, agents and document systems
Full-Stack Developer
I build and run full-stack systems: FastAPI and Next.js services on PostgreSQL, shipped with Docker, and LLM automation where it cuts real manual work.
open · part-time / contract
$ 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 B1 · ES nativeClear scope before code, short deliveries, documented tests and deployment. AI as a working tool, not a headline.
$ 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
Computer-vision lab that benchmarks YOLO11n against Faster R-CNN and SSDLite on the same input — latency, FPS, GFLOPs, parameters — with a live webcam mode and custom weights.
Artisanal bakery in Loja: a storefront with catalog, business orders, FAQ and a single WhatsApp ordering flow, plus an admin panel where the owners keep products, banners and FAQ up to date themselves.
Python toolkit that turns Markdown and YAML sources into university-grade PDF reports: a LaTeX route with bibliography and validation gates, a WeasyPrint route for fast previews, IEEE reference checks and reproducible figures.
Bilingual portfolio with a terminal-style dev-mode UI: one typed content model for EN/ES, GSAP ScrollTrigger and Lenis motion with reduced-motion support, static export to GitHub Pages.
$ 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
Coursework implementation of a SIGED-style school management system: Django backend and React client, built against a real reference system.
$ run hmm-speech-recognition-research
Research document and references documented
Literature review of HMM-based speech recognition and its evolution toward hybrid and deep models, typeset as a reproducible LaTeX document.
$ 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
A system to build, or a team that needs another engineer? Tell me the problem. You'll get a read on scope and the first steps.