Table of Contents

Andrian Lloyd Maagma’s CV

Aklan, Philippines
/ maagmaandrian@gmail.com / LinkedIn / GitHub

Summary

A Computer Science student who builds full-stack apps with machine learning. I aim to create tools that people actually use and find useful. I also value accessible software and contribute to open-source whenever I can.

Education

BS in Computer Science, University of the Philippines Visayas

Miagao, Iloilo, Philippines

  • Current Cumulative GWA: 1.15 (President’s Lister)
  • Relevant Coursework: Web Programming, Database Systems

Experience

Lead Web Developer, Pagbutlak — Student Publication of College of Arts and Sciences

Leading the development of a new publication website to replace a legacy WordPress platform with a modern system.

  • Designed the project architecture and tech stack with Next.js, PayloadCMS, and TailwindCSS.
  • Established content migration strategy and editorial workflows to ensure smooth transition from the legacy site.

Branding and Creative Fellow, UP Data Science Society

Supporting the society's branding and creative initiatives, with a focus on website development.

  • Contributed in the early-stage development of the organization’s website.
  • Built a Spotify Wrapped–inspired data science website that was featured by the organization.

Web Developer, Komsai.Org — Organization for Computer Science Students

Developing the organization's website using modern web technologies, streamlining content updates and improving the experience for student members.

Projects

Manobela

  • Led a team of five to build a mobile app with real-time WebRTC video processing using computer vision.
  • Won champion at the TrackTech Hackathon 2026 - CPU CSS, outperforming 7 teams.

renux

  • Packaged as an installable Python TUI application, accessible to users on all platforms.
  • Achieved 3,000+ downloads on PyPI and 30+ stars on GitHub.

UniGlyphs

  • Developed a flexible browser extension supporting complex interactions on any website input.
  • Gained 20+ users on Chrome Web Store.

Aklish

  • Implemented a dictionary-based Aklanon spellchecker, improving translation accuracy.
  • Developed an Aklanon word stemming library, enhancing spell-check precision.
  • Conducted user testing with 30 native speakers and iteratively improved UX, resulting in increased usability.

TagLID

  • Created a Python library for Tagalog word stemming to improve Tagalog language detection for inflected words.
  • Scraped from Tagalog and English dictionaries using BeautifulSoup4 to generate frequency-based lookup tables.
  • Computed code-switching frequency from 57 survey responses to automate data analysis for a language research study.

Skills

  • Tools: TypeScript, React, Next.js, React Native, Expo, Astro, TailwindCSS, Python, Django, FastAPI, Pandas, TensorFlow, PyTorch
  • Industry Knowledge: Web development and design, machine learning, natural language processing, data analysis
  • Languages: English (Professional working proficiency), Tagalog (Professional working proficiency)