Software Developer
Hi, I'm Rafael. I am a passionate software developer with over two years of experience creating innovative mobile and web applications, specializing in Flutter, Vue.js, and backend solutions like Firebase and Laravel. My projects range from AI-powered rice disease detection and real-time COVID-19 tracking to offline-first POS systems and a Filipino Language Chatbot. With a focus on driving impact through efficiency and user-centered design, I aim to build scalable tech solutions that address real-world challenges, particularly in the Philippines.
2024
Dental Dashboard and Data Analytics Platform
Laravel • VueJS • AngularJS
2024
Disaster Preparedness Platform
Android • iOS • Flutter • Laravel • Google Maps
2024
Education Platform
Android • iOS • Flutter • Swift • Java • AI Integration
2023
2023
Frontend Mobile Developer at Pic-a-Talk Adobokashi Inc., engineered and launched major Flutter app features, optimized state management with BLoC and Provider, integrated REST APIs with AWS services, and reduced data latency by 60% through infrastructure migration from Heroku to AWS.
Flutter • Firebase • Django • AWS
2023
Research Assistant at MSU-IIT, developed a Flutter-based app for the Reversed Vending Machine project with Google Maps integration and Firebase backend, enabling recycling point tracking for 500+ users while reducing server costs by 40%.
Python • Object Detection • Firebase • Flutter • Google Maps
2022 – 2023
Computer Programmer at MSU-IIT, developed and deployed the cross-platform my.Eskwela app with Flutter and Flask, boosting student engagement by 40% and parent involvement by 25%, and implemented in-app messaging to increase parent-teacher interactions by 60%.
Flutter • JQuery • Flask • PubNub
2020
Software Engineering Intern at Jarvis Analytics, led a team to develop a real-time COVID-19 tracking web app using Vue.js and Laravel, improving data accuracy by 95% and reducing manual update time by 90% through API integration.
Laravel • VueJS • AngularJS
2022
Developed a mobile application for monitoring patients with Tuberculosis.
Android • Flutter • Java • Firebase
2023
Developed a parking system implemented with an ESP-32 built-in camera integrated with Python for Image Processing.
Python • OpenCV • Arduino • ESP-32
2022
Developed a Flutter-based mobile app using MobileNet to identify rice diseases, achieving 89% accuracy and 85% user satisfaction among farmers.
Flutter • Tensorflow • Tensorflow lite
Github