CV

A complete PDF version of my CV is available here

Education

• Honours Bachelor of Science in Computer Science, with a Minor in Statistics, University of Toronto, 2026 (Expected)
  • Arts & Sceince Internship Program (Co-op)
  • Cumulative GPA 4.0/4.0
  • Deans List x3, University of Toronto Excellence Award (UTEA), Woodsworth College Scholarship

Work Experience

• May 2025 ~ Present: Software Development Engineer @ AWS Vancouver
  • Working with EventBridge
  • Software Development
• May 2024 ~ May 2025: Machine Learning Researcher Intern @ Huawei Technologies Canada
  • Researching with Large Language Models in model quantization (sub 4 bits), synthetic data generation for model tuning, and model distillation for speculative decoding.
  • Supervisor: Huan Liu
• September 2022 ~ April 2023: Tech2U Classroom Ambassador @ University of Toronto
  • Work Study Program at University of Toronto
  • Provided hands-on direct technical support and orientation to the classroom instructor during class time.
  • Worked with instructors to provide technical support for classroom technology.

Research Experience

• May 2025 ~ Present: Machine Learning Research Assistant
  • Researched on knowledge distillation and pretraining models
  • Supervisor: Prof. Maryam Mehri Dehnavi
• May 2022 ~ Present: Machine Learning Research Assistant
  • Researched on Multilingual translation models and LLMs applications in the real world
  • Supervisor: Prof. En-Shiun Annie Lee
• September 2023 ~ December 2023: Operating Systems Research Volunteer
  • Project aimed to develop a toy operating system for educational purposes (like Stanford’s PintOS), named KidneyOS, written completely in Rust.
  • Implemented memory allocation features through Pool Allocator
  • Implemented ELF header verifications partially
  • Project is available here
  • Supervisor: Prof. Kuei (Jack) Sun

Publications

2025-05 - TranslationCorrect: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance , ACL , Syed Mekael Wasti, Shou-Yi Hung, En-Shiun Annie Lee

2025-05 - ATAIGI: An AI-Powered Multimodal Learning App Leveraging Generative Models for Low-Resource Taiwanese Hokkien , ACL NAACL , Yun-Hsin Chu, Shuai Zhu, Shou-Yi Hung, Bo-Ting Lin, En-Shiun Annie Lee, Richard Tzong-Han Tsai

2024-03 - Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs , ACM SIGCSE TS , En-Shiun Annie Lee, Luki Danukarjanto, Sadia Sharmin, Shou-Yi Hung, Sicong Huang, and Tong Su

Teaching

2025-01 - Teaching Assistant for CSC369H1S: Operating Systems , University of Toronto, Department of Computer Science

2024-11 - Assisting in designing course material for Web Programming and Operating Systems , University of Toronto, Department of Computer Science

2023-06 - Teaching Assistant for Preparing for University Math Program (PUMP) Self Guided , University of Toronto, Department of Mathematics

Competitions

• January 2023: World University Students’ digital intelligence competition invitational tournament AI Arena Multi-Agent Competition Track, 4th place, ChengDu, China
  • Hosted by Tencent
  • Competed with 16 universities around the globe
  • Tasked to create an reinforcement learning agent for the game “Honor of Kings” in the 3v3 map
  • Implemented an off-policy actor-critic deep reinforcement learning model
  • Utilized distillation to transfer knowledge between models
  • Deployed CNN, LSTM, and Multi-Head attention to enhance performance of model
  • Introduced Dropout, NoisyNet, Lookahead Optimizer, and applied other techniques to increase model stability
  • Achieved model performance within the top 15th percentile among human players

Volunteer Activities

• 2024: ACM SIGCSE TS Student Volunteer
• 2021 ~ Present: Volunteer Note Taker at University of Toronto
  • Selected multiple times to provide notes for disability services, with valid co-curricular credits
• 2021: Recognized Study Group Leader for CSC110 (Foundations of Computer Science I)

Skills

• Technologies
  • Python (NumPy, OpenCV, PyTorch, HuggingFace, Accelerate, Distributed Learning), Java (JUnit), SQL (MySQL, PostgreSQL, SQLite), NoSQL (Firebase), HTML/CSS, JavaScript, C/C++, R, MIPS Assembly, Rust
• Machine Learning
  • HuggingFace, PyTorch, OpenCV, NumPy, Accelerate (Fully Sharded Data Parallel, Distributed Data Parallel), Distributed Learning
• Frameworks / Tools
  • Shell (Bash, Zsh, Sh), Linux / Unix, Selenium, Matplotlib, Seaborn, Pandas, REST API, LaTeX, Flask, BeautifulSoup, React, Node.js, Docker, Jupyter Notebook, Conda, Git, CI/CD, AWS, Microsoft Azure
• Media
  • Adobe Photoshop, Adobe Illustrator, Adobe Premiere
  • Figma, draw.io
  • Microsoft Suite (Word, Powerpoint, Excel)

Test Scores

• January 2020: TOEFL iBT, score 107, 27/25/29/26
• May 2025: GRE, score 330, 160/170

Certificates

• Problem Solving (Basic) Certificate, Hackerrank
• Learn to Program: Crafting Quality Code, Coursera + University of Toronto
• Learn to Program: The Fundamentals, Coursera - University of Toronto
• 6.00.1x: Introduction to Computer Science and Programming Using Python, edX + MIT
• 6.00.2x: Introduction to Computer Science and Programming Using Python, edX + MIT
• CS50x 2020, Harvard University
• CS50 Puzzle Day 2020, Harvard University

Student Clubs

• 2022 ~ Present: Member, Computer Science Student Union (CSSU), University of Toronto
• 2022 ~ Present: Member, Google Student Developer Club (GDSC), University of Toronto
• 2022: Member, Riichi Mahjong Club (UTRMC), University of Toronto