Curriculum vitae / one-page PDF

The compact record. The rest of this site shows the evidence behind it.

I am a University of Toronto Computer Science Specialist graduating in 2027. My recent work spans clinician-reviewable AI workflow, enterprise test automation, and published adaptive-media research.

Open one-page CV Email me ↗ LinkedIn ↗ GitHub ↗

Selected evidence

Three records I would want a reader to verify.

Each points to a different kind of work: an ongoing system contribution, a year in enterprise engineering, and a published study.

Current system work

Remeda — clinician-reviewable referral drafts

I contribute to an applied-AI clinical workflow where generated referral text remains a draft: editable by a doctor, traceable through audit records, and protected by deterministic fallback behavior.

May 2026 - Present · 12 focused backend tests

Enterprise engineering

Veeva Systems / RIM Core

One year debugging and updating end-to-end automation across rendered text, SQL state, HTTP behavior, and cleanup.

Jul. 2025 - Jun. 2026 · Toronto

Published research

Synesthesia-based music visualization

An Empirical Study on the Design of Dynamic Music Visualization for Therapy Based on Synesthesia Feature Mapping

Springer DOI ↗

Education

University of Toronto

Honours Bachelor of Science, Specialist in Computer Science

Sept. 2022 - Apr. 2027 · CGPA: 3.91/4.00

Dean's List Scholar (2023, 2024); Arts & Science Internship Program (Co-op)

Technical record

Languages: Python, Java, C/C++, SQL, R, Bash, JavaScript, HTML/CSS
Systems and data: REST APIs, PostgreSQL, SQL Server, Git/GitHub, Linux/shell, browser automation
AI and interaction: model evaluation, feature engineering, D3.js, TouchDesigner, human-centered evaluation

Selected coursework

Machine Learning, Data Visualization, Interactive Media, Computer Graphics, Operating Systems, Databases, Algorithm Design, Systems Programming, Statistical Theory