- Key contributor to Lunit Scope AiO, an AI-powered oncological data visualisation platform for whole-slide images, helping secure multiple AI model bakeoff wins.
- Designed and iterated the core JSON-driven visualisation configuration system, enabling flexible, high-performance control of viewer features across successive releases.
- Boosted visualisation performance 200x by migrating rendering from HTML Canvas to WebGL, and supported other teams in adopting the same approach.
- Delivered a dynamic tile-based rendering system capable of smoothly visualising 200MB+ GeoJSON polygonal datasets within just two weeks.
- Championed application reliability and quality:
- Integrated Sentry error logging with enhanced context capture and source mapping
- Led Playwright E2E testing setup with CI/CD, including screenshot-based visual tests.
- Contributed extensive unit tests (Jest/Vitest), achieving 99.43% coverage.
- Improved stability via memory profiling and performance tuning, enabling the app to pass demanding internal aging tests.
- Maintained an internal MUI-based component library, expanding Storybook documentation and ensuring UI consistency.
- Collaborated with PM and design team to define requirements for user-facing features including key component interactions, warning messages, and interactive canvas drawing tools.
- Led the research, design, and implementation a proof-of-concept visualization pipeline using tiled PNGs to render multiple annotation layers with instant toggling.
- Developed Rust CLI utility to facilitate adoption of POC into backend and AI workflows.
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