AI & Web Developer specializing in AI-powered applications

• Processed, validated, and digitized 3,500+ geospatial household records across 7 barangays using QGIS, maintaining 98%+ data accuracy through structured validation workflows. • Managed spatial datasets including land ownership records, lot boundaries, and land valuation layers, contributing to faster and more organized land-record retrieval processes. • Performed ETL (Extract, Transform, Load) operations on raw attribute datasets to support government digitization and data integrity compliance. • Supported map production and spatial analysis workflows by organizing structured GIS datasets for local government planning and operational use. • Collaborated with office personnel to maintain accurate, query-ready geospatial records and improve consistency across multiple mapping layers.

My experience in web programming started through building real-world projects that combined functionality, problem-solving, and user experience. Instead of only focusing on theory, I worked on developing systems that could solve practical needs through web and mobile technologies. One of the projects I developed was an AI-powered sign language translator that used TensorFlow Lite, MediaPipe, and LSTM models to perform real-time gesture-to-text translation on Android devices. Working on this project strengthened my understanding of backend logic, AI integration, data preprocessing, and application optimization. Through these projects, I gained hands-on experience in JavaScript, SQL, React Native, Android/Kotlin, PHP, and application performance optimization while learning how to build systems that are both functional and user focused.

• Built a full-featured mobile ordering application for a retail business using Android Studio - Kotlin, implementing dynamic cart computation, real-time price calculation, and persistent order history via AsyncStorage. • Designed reusable UI components and navigation architecture, reducing screen load time by optimizing state management and eliminating redundant re-renders. • Tested across Android devices for layout responsiveness and performance, achieving zero critical bugs at delivery.

•Designed and normalized a relational SQL database (1NF–3NF) for a Healthcare Appointment Management System, modeling 6+ entities (patients, doctors, appointments, departments, medical records) with full referential integrity via primary and foreign key constraints.

Me and my colleague built an app with integration of machine learning using an architecture of LSTM and MediaPipe for real-time recognition, and Computer Vision for camera. The idea of the project is a real-time Filipino Sign Language to Text translation. I manage training the dataset in TensorFlow and annotating dataset into CVAT, then converting the trained file into tflite.

• Encoded and validated 3,500+ geospatial household records across 7 barangays using QGIS, achieving 98%+ data accuracy through systematic validation and error-correction workflows. • Digitized and managed spatial layers including lot boundaries, ownership data, and land values, reducing manual lookup time by an estimated 40% for local land-record queries. • Performed ETL (Extract, Transform, Load) operations on raw attribute data, enforcing data integrity standards for government digitization compliance. • Contributed to map production and spatial analysis deliverables, supporting local governance decision-making with structured, queryable GIS datasets.