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Hayson Cheung

Engineering Science Student

University of Toronto

hayson.cheung@mail.utoronto.ca github.com/HaysonC linkedin.com/in/hayson-cheung

First-year Engineering Science student with a passion for machine learning, robotics, and control systems. Focused on leveraging cutting-edge technologies to solve real-world problems and create innovative solutions.

Areas of Interest

  • Machine Learning
  • Robotics
  • Control Systems
  • Computer Vision
  • Neural Networks
  • Deep Learning

Technical Skills

  • Python Advanced
  • Machine Learning Advanced
  • Deep Learning Intermediate
  • Neural Networks Intermediate
  • Java Intermediate
  • C Intermediate
  • OpenCV Advanced

Scholarships

ESROP-Global Scholarship

CAD 4,500 for research at KMUTT, Thailand

MITACS Globalink Research Award

CAD 6,000 for AI and quantitative finance research

Resume

Download Full Resume

Experience

University of Toronto Aerospace Team - Control Systems

2024 - Present

Developed MATLAB and Python-based control systems for the FINCH satellite mission, contributing to precise altitude planning and orientation control in space systems.

University of Toronto Machine Intelligence Student Team (UTMIST)

2023 - Present

Led academic paper-reading sessions on LSTMs, Encoder-Decoder models, and Transformers. Developed an LSTM Encoder-Decoder model for Neural Machine Translation using TensorFlow.

Yannes Solution Ltd.

Summer 2023

Developed a Python-based system for organizing and processing on-site images, optimizing project documentation. Administered the installation of over 500 CCTV cameras across the Hong Kong Metro's East Rail Line.

Projects

LegoFIKS

GenAI 3D Modeling Therapy

A revolutionary approach to social competence therapy for children with Autism Spectrum Disorder, combining creativity, technology, and LEGO. Winner of Best AI for Creativity & Generative Arts at GenAI Genesis 2025.

NEAT Pong Bot

NEAT Neural Networks Game AI

Created a high-performance Pong bot using NeuroEvolution of Augmenting Topologies (NEAT), exploring deep learning techniques like CNNs and Q-learning for improved decision-making.

MapMatch

AWS NLP Semantic Embeddings

Designed an AWS-based algorithm to analyze roommate descriptions and compute compatibility through semantic embeddings, efficiently matching roommates with similar habits.

PHY-Pendulum

OpenCV Data Analysis Physics

Developed an object detection system using OpenCV to analyze pendulum motion with center origin detection and dynamic graph generation for detailed analysis.

LSTM Encoder-Decoder

Machine Learning TensorFlow Python

Implemented a sequence-to-sequence learning model with LSTM for neural machine translation, adapted from the seminal work of Sutskever, Vinyals, and Le.