I build full-stack web apps and embedded systems. Most of my work sits somewhere between a AI Integration and exploring new things — which I find more interesting than either alone.
Currently working on integrating AI features into the Autoworx service management system. Also spending time with computer vision projects using MediaPipe and OpenCV on ESP32 and web platforms.
- Working on AI diagnostics for the Autoworx ecosystem
- Into Next.js, Supabase, and ESP32/Arduino day to day
- Exploring RAG pipelines and computer vision for real projects
- Thesis was a Real-Time Monitoring of Engine Oil Contamination Using an ESP32-Based Web Server and Turbidity Sensing System built with IoT sensors
Frontend
Backend & Database
Embedded & IoT
AI & Computer Vision
Tools
| Project | Description | Stack |
|---|---|---|
| Autoworx System autoworxcagayan.com | Vehicle service management with AI diagnostics, estimates and financial tracking | Next.js, Supabase, PostgreSQL |
| TaraFix | Find nearby mechanics and auto-shops across the Philippines in real time | Next.js 16, React 19, Leaflet |
| Autoworx Inventory | Automotive parts and sales tracking with real-time stock and paint batch management | Next.js, TypeScript, Supabase |
| ESP32 IoT Templates | Reusable ESP32 templates for AI Vision, MQTT, Telegram bots and cloud sync | C++, ESP32, Firebase, Gemini |
| Engine Oil Monitoring | IoT system that monitors engine oil quality using turbidity sensors in real time | C++, ESP32, Sensors |
| SuperMini Jammer | Handheld 2.4GHz research tool for testing wireless network resilience | ESP32-C3, nRF24L01+ |
