Education
University of Toronto / Sept. 2022 - Apr. 2027
Honours Bachelor of Science, Specialist in Computer Science, Minor in Mathematics
CGPA: 3.91/4.00
Awards: Dean's List Scholar (2023, 2024); Arts & Science Internship Program (Co-op)
Resume
A concise record of my education, experience, and technical work.
Download the public PDF or scan the essentials below. Application-specific documents remain private.
Summary
Applied AI/ML, human-centered systems, and reliable engineering.
Computer Science Specialist at the University of Toronto working across applied AI/ML, human-centered systems, data visualization, and reliable software engineering.
Selected coursework
Machine Learning, Data Visualization, Interactive Media, Computer Graphics, Operating Systems, Databases, Algorithm Design, Systems Programming, Statistical Theory
Experience and research
- Software Engineer in Test Intern, RIM Core, Veeva Systems (Jul. 2025 - Jun. 2026) - End-to-end automation and debugging for Vault RIM Core workflows, with attention to regression reliability and maintainable test logic.
- Research Manuscript Collaboration, Adaptive Music Visualization for Emotional Regulation (Winter 2026) - Manuscript research and writing connecting affective computing, cross-modal mapping, multimodal sensing, and offline reinforcement learning.
- Research Assistant, University of Nottingham Ningbo China (Dec. 2024 - Apr. 2025) - Research on AI-driven art therapy and adaptive therapeutic media informed by physiological signals.
Technical skills
- Languages: Python, Java, C/C++, SQL, R, Bash, JavaScript, HTML/CSS, MIPS
- Tools and platforms: Git, GitHub, Selenium/browser automation, SQL Server, Azure Data Factory, Power BI, Tableau, TouchDesigner, VS Code, PyCharm, IntelliJ, WebStorm, Linux/shell
- Areas: applied AI/ML, machine learning, model evaluation, data engineering, backend/data systems, QA automation, data visualization, HCI/interactive media