Pablito Torrecampo Jr's Work | ContraWork by Pablito Torrecampo JrPablito Torrecampo Jr
Helping business streamline scattered workflows.
Lately, I've been thinking a lot about how easy it is to get caught up in what's next.
Work. Goals. Projects. The next milestone.
So I took a weekend off, brought my camera with me, and made a little video about it.
Nothing extraordinary happened and I think that's kind of the point.
Sometimes the ordinary days are worth remembering too.
š„ https://www.youtube.com/watch?v=7-FM9CIUTPY Presenting an early-stage product taught me that a growing list of questions is not a sign of falling behind. It is often the first evidence that a complicated operational process is becoming visible.
Read more here:
https://www.pablitotorrecampojr.com/writing/the-more-i-understood-the-more-questions-i-had Melting Price
Melting Price is an e-commerce platform built around a unique reverse-bidding model where product prices gradually decrease over time to drive urgency and engagement.
I joined the project as a contract developer, supporting development across a Laravel + Vue.js stack. My work focused on ensuring a smooth end-to-end user experience, including Stripe payment integration, admin dashboard development (Filament), and accurate stock and pricing logic. I also handled testing, bug fixes, and containerized the application using Docker for reliable deployment.
Key Results
Seamless and secure Stripe payment processing
Accurate real-time pricing and stock management
Improved admin workflows through a custom dashboard
Stable, deployment-ready system via Docker
Tech Stack
Laravel (PHP), Vue.js, MySQL, Stripe, Filament, Docker Street Safe
Street Safe is a web and Android platform I developed to enable real-time reporting and monitoring of road hazards across Cebu.
I built a Kotlin mobile app for users to submit hazard reports with images and location data, and a React + Tailwind dashboard for authorities to review and respond in real time. The system integrates YOLOv8 via a Flask API to automatically detect and classify hazards from uploaded images, with Firebase handling authentication and real-time data syncing.
Key Results
- Submit hazard reports in under 1 minute
- Real-time updates for faster response and decision-making
- Automated image detection reduces manual work
- Visual mapping of hazards using Leaflet for better prioritization
Tech Stack
React (Vite), Tailwind CSS, Kotlin, Firebase, Flask API, Python, YOLOv8, Leaflet