Building across microservices, distributed data systems, and generative AI pipelines.
Hi! I'm a final-semester Computer Science student at Tecnológico de Costa Rica (TEC), where I also help out as a Teaching Assistant for core programming courses.
I'm all about backend development, distributed systems, and generative AI. I enjoy the challenge of figuring out how complex systems work under the hood and turning ideas into well-architected software.
- Backend & Architecture: I love building robust services, applying clean code practices, and working with polyglot databases.
- AI Enthusiast: I spend a lot of time experimenting with open-source generative models (like Flux, Wan, and Stable Diffusion), optimizing ComfyUI environments, and managing cloud GPU infrastructure.
- What's Next: I'm currently looking for a graduation internship where I can tackle real-world engineering challenges and continue growing as a developer.
A selection of projects I've built, from AI pipelines to distributed systems.
AutoLoRA-Pipeline 
Automated pipeline for dataset ingestion, image scraping, and auto-captioning for LoRA training. Uses MTCNN and Florence-2 for face detection/captioning on top of a producer-consumer architecture for scalable dataset curation.
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Biskoto E-commerce 
Complete e-commerce web app for a bakery. Features a shopping cart, secure checkout flow, and an admin panel with role-based access control, all backed by Supabase's real-time database.
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Java Chess Game 
Full-featured desktop chess game with MVC architecture and design patterns (Singleton/Factory). Supports all special chess rules, match saving, and dynamic bilingual (EN/ES) UI.
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Distributed E-commerce Platform 
Microservices platform with polyglot persistence (MongoDB, PostgreSQL, Neo4j, Redis, Elasticsearch) and a Spark/Hive ETL pipeline orchestrated with Airflow for OLAP analytics.
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I'm always open to discussing software, architecture, or potential opportunities.
