Hi, I’m Ivan!

A Frontend Developer and
an aspiring Full Stack Developer

Featured Projects

Electricity Consumption Forecast Website

This project involves developing a web application that visualizes electricity consumption forecasts generated by various machine learning models. The model uses data from selected Public Schools in Davao City and UNICON, enabling users to explore trends and gain comparative insights through an intuitive interface.

Next.jsTailwind CSSTypeScriptPythonTensorFlowKerasNumPyPandasScikit-learnMatplotlibOptuna

ADTO (Automated Crowd Monitoring System v2)

This project is a centralized event management and crowd monitoring platform that allows administrators to manage events, update participant limits, and track ticket distribution. Students can view events, purchase tickets through HelixPay, and access event details through a user-friendly web application.

Next.jsTailwind CSSTypeScriptShadCNDockerTanstack Query

Badminton Court Management System

This project involves developing a mobile-based management system that allows badminton court owners to efficiently handle reservations, track player activities, and organize tournaments. The platform streamlines day-to-day operations through a user-friendly interface, improving scheduling, and overall management.

DartFlutterXCodeSimulator

About Me

I’m a Front-End Developer passionate about creating intuitive, visually polished, and accessible web applications. With over four years of experience in web development, I focus on building responsive interfaces that balance performance, usability, and thoughtful design, while working toward becoming a full-stack and security-focused developer.

I also have two years of experience in machine learning and one year of hands-on exposure to cybersecurity. These areas influence how I solve problems, encouraging me to think beyond the interface and consider data, system behavior, and application security.

Outside of projects, I spend my time learning new tech stacks and exploring concepts in cybersecurity and machine learning. I enjoy understanding how these fields connect and applying what I learn to build more reliable and future-ready applications.