I'm a Computer Technology student interested in building full-stack applications, backend systems, real-time services, and game systems.

I primarily work with C# and Python, and enjoy understanding how the different parts of a system fit together — from frontend interfaces and APIs to databases, background services, external devices, and deployment.

I'm also interested in game development with Godot and local AI systems.

• 🌐 Full-Stack Development — C#, ASP.NET Core, REST APIs, JavaScript, PostgreSQL, SQLite
• 🏗️ Backend & Systems — layered architecture, dependency injection, background services, repositories, and real-time systems
• 🤖 Local AI & Agents — local models, tool calling, retrieval, and context-aware systems
• 🎮 Game Development — Godot, C#, gameplay and systems programming
• 🐧 Development Infrastructure — Linux, WSL, Docker, and cloud deployment
• 🌐 Open Source — contributing fixes and improvements to projects I use

Full-Stack Real-Time Heat Monitoring & Alert System

A distributed environmental monitoring platform for Talisay City, Cebu.

The system receives readings from simulated and physical sensors, processes heat-index data through an ASP.NET Core backend, stores readings in a relational database, displays them through a live web map and admin dashboard, and sends automated Telegram alerts when dangerous conditions are detected.

Built with: C#, ASP.NET Core, Entity Framework Core, PostgreSQL, SQLite, JavaScript, ESP32, DHT22, Telegram Bot API, Docker, Render, Neon

Architecture: Clean/Onion Architecture, REST API, dependency injection, repositories, background services, external sensor integration, geospatial processing

Campus Communication Platform

A full-stack campus communication platform featuring an anonymous real-time Random Chat, interactive Freedom Wall, and role-based student Concerns Portal.

The system includes a custom MVC backend, REST API, WebSocket communication, authentication, role-based access control, and MySQL database integration.

Built with: PHP, MySQL, JavaScript, WebSockets, Ratchet, REST API, MVC

Experimental Local AI Context System

An experimental architecture for giving local AI agents access to large project knowledge bases through retrieval, structured context, and persistent memory rather than relying on extremely large prompts.

Focus: Local AI, RAG, agents, context management, and graph-based systems

Contributed a fix to the Odysseus project for grouped-chat file attachments, including attachment upload, context propagation, workspace handling, and association of attachments with sent messages.

Focus: Debugging, existing codebases, JavaScript, Python, Git, and GitHub