Andrian Lloyd Maagma’s CV

Summary

Computer Science student specializing in full-stack web development, UI/UX design, and data science. Skilled in building and maintaining web applications, leading design projects, and conducting tech-driven research.

Education

BS in Computer Science, University of the Philippines Visayas

• 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 early-stage development of the student publication website, aiming to replace the existing WordPress site with a modern, responsive platform.

• 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 Associate, UP Data Science Society

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

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

renux

• Streamlined file renaming for developers and power users, improving productivity.
• 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

• Enhanced web text formatting workflows for users across platforms.
• Developed a flexible browser extension supporting complex interactions on any website input.
• Gained 20+ users on Chrome Web Store.

Aklish

• Built full CRUD functionality for translations using Django and React, enabling user-generated content.
• 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

• Utilized rule-based Natural Language Processing (NLP) techniques to identify the language of each word.
• 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: Python, Django, JavaScript, TypeScript, React, Next.js, TailwindCSS, Pandas, Scikit-learn, TensorFlow, PyTorch, Git, Docker
• Industry Knowledge: Web development and design, machine learning, natural language processing, data analysis
• Languages: English (Professional working proficiency), Tagalog (Professional working proficiency)