Hi, I'm Kien, a software developer focused on frontend. I build responsive, accessible interfaces and care a lot about how a product actually feels to use.
My path here was unconventional: biochem at Waterloo, a costing job where I started automating Excel with VBA, then a self-taught pivot into software.
AI tools like Claude Code are part of how I work day-to-day. Pairing with it lets me ship faster and refactor smarter. I learn at a speed that wasn't possible a few years ago.
That speed has meant growing from frontend into data engineering and broader full-stack work, learning to reason about trade-offs across the stack. The space I'm drawn to is bridging older systems with modern AI tooling, where there's still real friction worth untangling.
Building responsive, accessible, and performant user interfaces
Building tools, improving DX, and ensuring system reliability
RTLBuilding data engineering and analytics skills for healthcare transformation
Building expertise in data engineering and Microsoft Fabric while supporting the transformation of healthcare data from multiple sources (EMR, MOH, CIHI) into unified analytics platforms that drive better patient outcomes.
Transitioned to Penn Entertainment as part of theScore's migration under the Penn umbrella. Currently on the Sportsbook Experience team, contributing to ESPN BET's web platform. Focused on UI/UX enhancements, performance tuning, and feature delivery across espnbet.com.
Driven by a focus on developer experience, performance, and frontend scalability, I've led initiatives that improved CI efficiency, test reliability, and application stability, while also mentoring developers, enhancing mobile usability, and building real-time observability with Datadog and Bugsnag
Quietly cooking up something at the intersection of data and craft. The shape of it will become clearer soon.

My space to reflect on programming, track progress, and stay accountable with Pomodoro-fueled learning sessions.

A website that provides Canadians a better UX experience when checking for product recalls.

AI-powered web app that predicts tomorrow's gas prices in Ontario, helping drivers save money by timing their fill-ups.
If you'd like to have a coffee chat — feel free to reach out using the form below!