I am an aspiring AI/ML Engineer with a deep passion for building intelligent systems and solving complex bottlenecks. As a Computer Engineer, my academic roots are in Cisco networking, hardware architecture, and robotics. However, my true focus is strictly on the software side—writing code that transforms raw data into automated, optimized solutions.

My background gives me a unique edge: I don't just write code; I engineer processes. As a Team Coordinator and a certified Lean Six Sigma Yellow Belt, I am trained to identify inefficiencies and architect streamlined workflows. I apply this exact mindset to software development, building robust backend architectures, financial optimization engines, and data-centric tools that pave the way for real-world machine learning applications.

• Karel-Goes-to-Manila - An extended 2D simulation environment for Stanford's Code in Place. Watch Karel navigate traffic, manage battery resources, and handle urban delivery routing through the streets of Metro Manila.
• 🛰️ Orbital Feed - Automated posting powered by Generative AI under Javascript; niche-focused cross-posting across the digital platforms. (Private Repository — currently building the SaaS architecture for public release).
• 🧠 NeuroBalance-Engine - A financial modeling system simulating and optimizing liability reduction strategies (Python, Flask). Built to handle complex resource allocation logic.
• 🌌 Event_Horizon_JS - A dynamic data visualization dashboard utilizing NASA APIs (JavaScript, HTML, CSS).

• Living in the future - Learning and building tools to make agentic engineering faster for everyone
• Building intelligent systems - Transitioning into AI/ML by tackling complex mathematical models in the AIMO Kaggle competition.
• Architecting efficiency - Merging my Lean Six Sigma background with software development to engineer tools that solve real operational bottlenecks.
• Rapid tool development - Spinning up functional applications—like workflow diagnostics and financial simulators—using Python, FastAPI, and React.
• Translating hardware logic to software - Taking the structured thinking from my Computer Engineering degree and applying it entirely to writing cleaner, faster backend code.

• 🤖 Designing predictive models and tackling advanced mathematical problems in the AIMO Progress Prize Kaggle competition.
• 📈 Bridging Lean Six Sigma methodologies with data pipeline architecture to prep for future machine learning roles.

"Hardware taught me the constraints. Software gives me the scale. Logic and efficiency dictate how I build."