Remeda
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.
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.
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.
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.
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.
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.
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.
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.
APR 2026 — NOW
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
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
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.
Honours BSc · Computer Science & Data Science
Double Specialist · St. George campus
Dean’s List Scholar · Reuben Wells Leonard Scholarship
2023 — 2027Expected