I am a 3rd year Computer Science student based in the Philippines, dedicated to building software anchored in architectural clarity and first-principles thinking.
My approach to development is driven by a focus on effective modularization. I believe a system's architecture should be decoupled—ensuring you only use what you need, and what you don't use doesn't get in your way.
My first programming language is C++, which I credit for my deep appreciation for the C-family syntax and the safety of static typing. For me, compiler type-checking is a fundamental tool for catching easily avoidable problems before they ever reach production. I appreciate the mechanical sympathy taught by systems languages like Rust, and I find that the C# and .NET ecosystem provide the perfect balance of ergonomics and performance where components just work seamlessly together making the code exceptionally easy to read, refactor, and maintain.
Lately, I’ve been obsessed with Domain-Driven Design (DDD). I aim to build applications where the GUI is a thin, replaceable wrapper over a universal format. This makes systems portable, transparent, and easily digestible by both humans and, crucially, AI. I even apply this data-first mindset to my own life, quantifying and qualifying my activities, expenses, and thoughts to better orient my focus in accordance with my values and interests.
When I’m not at my desk, I practice a lifestyle of high intentionality. I’m a fan of unplugging—preferring walks, active learning, or deep conceptual thinking over the noise of social media. I enjoy the moment things click, whether I'm analyzing tech trends, exploring cultural history, or refactoring a complex piece of logic into something elegant and simple.
A specialized Retrieval-Augmented Generation system trained on the Data Privacy Act of 2012 IRR. It utilizes a deterministic workflow and multi-step reasoning to ensure every response is cited and grounded in legal fact, effectively eliminating AI hallucinations.
Moving beyond basic chatbots, this agent uses intent-based reasoning to handle complex user inquiries. It executes tasks like data parsing, customer support, and lead qualification.
A lightning-fast landing page built with Astro and Tailwind that eliminates layout shift and delivers sub-second interaction times. Features an booking system using Preact integrated with Google Sheets API as a lightweight, user-friendly backend
A logic gate simulator for desktop built using Avalonia. Engineered with Data-Oriented Design to handle high-frequency simulation states.