Zhean Robby Ganituen

B.S. Computer Science, major in Software Technology

De La Salle University

Advisor: Nathaniel Oco

Research: Low-resource NLP—phonetic algorithms for Filipino, confusability, and Filipino G2P.

Relevant Coursework: Data Structures and Algorithms, Design and Analysis of Algorithms, Theory of Computation, Natural Language Processing, Theory Of Programming Languages, and Machine Learning.

STEM High School

De La Salle University Integrated School

With distinction in research

Advisors: Dr. Neil Stephen Lopez and Dr. Jose Bienvenido Biona

Thesis: "Traditional and Modernized Jeepneys: An Assessment on Comfort, Ease of Use, and Safety"

A Grammar Checker for Tagalog and Bikol Languages

Abstract presentation at IEEE International Symposium on Technology and Society (ISTAS) 2025, Santa Clara, California. Joint work with Stephen Borja, Justin Ching, and Nathaniel Oco.

Traditional v. Modernized Jeepneys

Presentation at Philippine Science Research Symposium, Quezon City, Philippines.

A comprehensive list of my projects is available on my GitHub.

ginger github.com/zrygan/ginger

Transformer-based G2P for Filipino using Wiktionary data. This project is part of our undergraduate thesis in the MangoCats group.

• Implemented a Transformer-based G2P model for Filipino using PyTorch and Wiktionary data.
• Achieved a PER of 8.00% and a WER of 29.99% with very little hyperparameter tuning and data augmentation.

pho (🍜) https://github.com/Mango-Cats/pho

A Rust library for phonetic similarity. This project is part of our undergraduate thesis in the MangoCats group.

• Designing and building a Rust library implementing string similarity algorithms for phonetic and orthographic string comparison.
• Implemented a weighted ensemble system that combines algorithm scores, with a genetic algorithm module that learns optimal weights against labeled datasets using configurable loss functions.
• Includes a CLI tool (phoc) for batch-processing string-pair CSVs into similarity feature matrices, with parallel execution via Rayon and TOML-based per-algorithm configuration.

walter https://github.com/Mango-Cats/walter

LLM-Assisted LASA Drug Name Dataset Construction. This project is part of our undergraduate thesis in the MangoCats group.

Symbolang github.com/zrygan/symbolang

Implemented a parser, lexer, and interpreter for a simple emoji-based programming language in Go.

Raytracer github.com/zrygan/Raytracer

Developed a Python-based (rewritten in Rust) project exploring core concepts in two-dimensional ray tracing algorithms, featuring support for simple emitters and absorbers.

Implemented geometric and numerical algorithms—including parametric equations, linear spaces, and trigonometric calculations—to simulate light-object interactions and spatial behavior accurately.

Nachos, Chips, & Dips: Crunching Cryptos, Algos, and Symbols

Planned and hosted a lecture series highlighting real-world applications of Theoretical Computer Science concepts from the Software Technology program.

Led event logistics, coordinated with speakers, and delivered a technical lecture to fellow students.

Algorithms, Automata Theory, Data Structures, Geometry, Formal Languages, Machine Learning

C, C++, Go, OCaml, Python, Java, Kotlin, Rust

CSS, HTML, LaTeX, Typst

Problem Solving, Research, Technical Writing, Tutoring, Science Communication

Tutor | Peer Tutors Society

• Rated 9.5/10 by 30+ tutees.
• Designed problem-based puzzles and applied flipped classroom methods to improve conceptual understanding.
• Tutored classes: Discrete Mathematics, Data Structures and Algorithms, Design and Analysis of Algorithms, Theory of Computation, Introduction to Intelligent Systems, and Machine Learning,

Associate Vice President for Activities | Peer Tutors Society

• Coordinated theoretical CS activities with 30+ student participants.
• Managed projects with a team of 10, collaborating with multiple departments to deliver impactful activities.
• Developed initiatives to make theoretical topics approachable and engaging.
• Collaborated with a team of 10, two academic departments, and colleagues from other teams to coordinate and execute impactful activities.

Associate Vice President for Activities | DLSU Association for Computing Machinery (ACM) Student Chapter

• Led collaboration efforts with a team of 10 people including instructors, and colleagues to coordinate and deliver impactful activities that spotlight cutting-edge research and emerging trends in computer science.
• Spearheaded initiatives that simplify complex concepts and foster active learning, making abstract ideas more accessible across diverse disciplines.

Data Science Workshop: Professor Widom's Instructional Odyssey.

De La Salle University, Instructor: Prof. Jennifer Widom

Viruses & How to Beat Them: Cells, Immunity, Vaccines. Certificate

IsraelX, Instructor: Prof. Jonathan M. Gershoni