Building scalable systems from backend APIs to polished UIs.
Now bridging engineering with machine learning & AI —
applying intelligent solutions to real-world product problems.
I'm a Full Stack Engineer with 11 years of experience across frontend, backend, cloud, and AI-powered product development. I specialise in building scalable systems with React, Angular, TypeScript, Python, and C#.
My career spans SaaS platforms, IoT dashboards, enterprise web modernisation, and AI-driven content analysis — always bridging clean engineering with user-centred design.
I'm currently expanding into AI and machine learning at MIT, focused on applying intelligent techniques to real engineering and product challenges. Fluent in English and Filipino, with intermediate German.
Automated classification and indexing of video, image, and audio assets using Azure and AWS AI services. Removed manual transcription workflows and delivered search results 40% faster.
Full stack real-time analytics platform enabling live monitoring of energy consumption via WebSocket data streams. Architected modular components optimized for large-scale streaming datasets.
Designed and shipped a reusable component library using Flexbox, Grid, SCSS, and Tailwind CSS — improving design-system scalability by 65% and accelerating feature delivery across the SaaS platform.
What it's like to pursue Applied AI at MIT while working full-time as a senior engineer — the why, the how, and what I'm learning.
How I built an IoT energy dashboard that streams live data without melting the browser — architecture decisions and lessons learned.
The decisions behind a Tailwind + SCSS component system that improved design scalability by 65% across a SaaS platform.
I'm open to new opportunities in full stack, AI engineering, or hybrid roles. Drop me a line — I respond to every message.