ABOUT

I study Computer Science and Data Science at the University of Toronto. I build reliable agentic AI systems that take over bounded parts of real-world workflows. My work focuses on making these systems know when to act, when to defer to humans, and how to make their decisions easy to verify.

Open to research opportunities and to roles in AI, software, and data.

Selected Work

Remeda

Clinical AI platform

An AI copilot for the clinical workspace. Remeda brings encounter transcription, clinical context, and draft notes and referrals into one workflow, with clinicians reviewing and approving the results.

remeda.ai / polaris

Cleave

Real-time voice AI

A voice assistant for second-language speakers. When a word slips away mid-sentence, Cleave says it in your own cloned voice and stays quiet the rest of the time. A finalist at the Higgs Audio Hackathon 2026.

zekunsong.com / cleave

CardioTrace

Independent research

Understanding cardiovascular health through public data. A reproducible NHANES study of trends and mortality risk, with risk models tested on later survey cycles than they were trained on and uncertainty reported alongside each finding.

CardioTrace

Geography & Development

Data science & interactive visualization

An interactive study of geography, economic structure, and national income. Data from 173 countries connects regression and machine learning with explorable maps and an open research report.

Geography & Development

WholeViz

Data visualization platform · Team project

From raw data to a story people can share. WholeViz connects dataset preparation, interactive charts, and publishing in one workspace for people who do not code.

WholeViz

Our Little Kitchen

Independent product

A shared kitchen for deciding what to cook together. Personal menus, meal requests, and a shared food journal bring everyday food decisions into one place.

chishenmeya.cn

Experience

Full resume

APR 2026 — NOW

Backend & Data Engineer · Remeda

University of Toronto applied project · Toronto

Built terminology pipelines and mapping APIs across 12 medical coding standards and 90,000+ reference codes. Added validation, safe reruns, and 60+ unit tests, and supported industry-demo deployment.

SEP — DEC 2025

Technical Product Lead · WholeViz

Industry partner capstone · Toronto

Led a six-person team from partner requirements to a Django and PostgreSQL analytics platform. Coordinated product decisions, implementation, and handoff for non-technical users.

JUN — SEP 2024

Data Science Intern · Shell

Shell (Shanghai) Technology Co., Ltd. · Shanghai

Integrated natural-language-to-SQL with schema and permission checks, and helped deliver a self-service analytics portal. Built 10+ refreshed Power BI dashboards; weekly ad-hoc requests fell from about 16 to 7.

Education

University of Toronto

Honours BSc · Computer Science & Data Science

Double Specialist · St. George campus

Dean’s List Scholar · Reuben Wells Leonard Scholarship

2023 — 2027Expected

Skills

Open website