Resume

Public resume and compact academic profile.

This public resume removes phone number and keeps application-specific documents separate.

Summary

Applied AI/ML, human-centered visualization, adaptive media, and reliable software systems.

Computer Science Specialist at the University of Toronto focused on applied AI/ML, human-centered systems, data visualization, adaptive media, privacy/security, and reliable software engineering.

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)

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) - Works on 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) - Drafted and revised manuscript sections connecting affective computing, cross-modal mapping, multimodal sensing, and offline reinforcement learning.
  • Research Assistant, University of Nottingham Ningbo China (Dec. 2024 - Apr. 2025) - Researched 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