ClaimBridge: AI-assisted insurance claim intake
A capstone project exploring how AI can speed up insurance claim intake while keeping a person in the loop.
- Machine learning
- Speech-to-text
- PII redaction
- PostgreSQL
- Human review
Sep 2026 – Apr 2027
Building at the intersection of artificial intelligence, strategy & business.
[ Status ]
Final-year student
University of Toronto
Based in
Toronto, Canada
Open to remote and hybrid
Full-stack and embedded software, built to be tested, maintained and understood by the next person who opens it.
Applied machine learning and AI-assisted tools, with a focus on human review and the point where a model meets a real workflow.
Understanding who a product is for, how it gets adopted, and how technology becomes a business, from startups to the public sector.
A capstone project exploring how AI can speed up insurance claim intake while keeping a person in the loop.
Sep 2026 – Apr 2027
A convolutional neural network that recognises exercises from wrist-worn IMU data, built for an applied machine learning course.
[Month Year] – [Month Year]
A static-first, accessible, open-source portfolio with a human-reviewed publishing workflow.
Nov 2026
[ Monthly update ]
A short note once a month on what I’m building, learning and thinking about. One email a month, no spam, unsubscribe any time.
Contact
I’m glad to hear from collaborators, colleagues, mentees and anyone curious about my work.