I'm a Computer Engineering graduate with hands-on programming experience across embedded systems, web development, and database-driven applications.
I've built functional systems end to end β from RFID attendance trackers and face-recognition platforms to full-stack web tools. I like taking something from hardware setup or a blank repo all the way through to software people actually use.
- π BS Computer Engineering
- π» Full-stack web development β React/Next.js front ends on Node.js & NestJS APIs
- π Embedded systems & IoT β ESP32, Raspberry Pi 5, RFID, sensor integration
- ποΈ Computer vision β facial recognition pipelines with OpenCV, UniFace and ONNX Runtime
- ποΈ Databases β PostgreSQL, MySQL, Supabase
- π± Quick learner, strong problem-solver, growing into a professional development role
Also: React Native Β· PyQt5 Β· ONNX Runtime Β· UniFace Β· picamera2 Β· gpiozero Β· ESP32 Β· VS Code
βοΈ SolarCalc β Solar Energy Calculator for TESDA Region II
June β July 2025 Β· Web Β· Calculator Tool
- Designed and built a dual-mode (quick-estimate and detailed) calculator computing electricity costs, required panel count, daily consumption, PV sizing, battery bank capacity, and a full materials list
- Delivered a planning tool intended for direct use by TESDA Region II in scoping solar installations
π Trainer Evaluation System β TESDA Region II
June β July 2025 Β· Web Application Β· Admin Panel
- Developed a role-based web platform with a trainer portal (evaluation results, leaderboard) and an admin dashboard for full monitoring and management of evaluation data
- Replaced a manual evaluation process with a centralized system for a government training agency
July 2026 β Present Β· Team of 2 Β· Web Application Β· Admin Panel
- Developed a role-based client portal for a surplus funds recovery firm, enabling Client, Rep, Admin and Attorney roles to manage claims end-to-end from intake through funds release, with an AI-assisted support assistant and a comprehensive audit trail
- Replaced a manual, paper-bound claims process with a centralized system of record unifying document management, privileged per-claim messaging, electronic signatures, and automated identity and document verification
Feb β Mar 2025 Β· Embedded Systems Capstone Β· Team of 4 Β· ESP32 Β· Arduino IDE Β· C
- Programmed firmware in C on the ESP32 to read RFID tags and log attendance events in real time, removing the need for manual sign-in sheets
- Owned the embedded logic and hardwareβsoftware integration within a 4-person team, coordinating interfaces between RFID reader, microcontroller and data logging
π§ ADV-Attendify β Face Recognition Advising & Attendance System
Dec 2025 β Apr 2026 Β· Team of 4 Β· Raspberry Pi 5 Β· Python Β· HTML/CSS Β· Supabase
- Built a facial-recognition pipeline in Python running on Raspberry Pi 5 to automate attendance capture and advising check-ins
- Designed the web front end and connected it to a Supabase cloud database for persistent, multi-user record storage
- Took the project from hardware setup through working software prototype, coordinating recognition logic, UI and database layers
From firmware to front end β build it, ship it, keep it running. π

