Grimmer Kang

Tech Lead / Engineering Manager

Passionate about building impactful solutions for people

Grimmer Kang

Technology leader with physics background, progressing from mobile and full-stack development to AI systems and scalable architectures. Currently leading distributed AI engineering teams at Fireflies.ai. Previously contributed to CARTA, an international astronomy software project at Academia Sinica, collaborating with US National Radio Astronomy Observatory and global partners. Extensive experience in IoT and streaming technologies. Proven track record in building high-performance engineering teams and driving innovation through critical thinking and agile methodologies.

Featured Work

VSCode Extension Preview

Developer Tools & Open Source

Creator of developer tools including VS Code, Chrome extensions, macOS utilities, and an open-source pet healthcare tracking app (previously published on iOS/Android). Author of TypeScript libraries for task queues and numerical computing. Implemented AlphaGo Zero algorithm for tic-tac-toe in TypeScript, demonstrating advanced AI concepts in browser environments.

TypeScriptPythonVS Code
Conference Speaking

Technical Speaking

Speaker at PyCon APAC, COSCUP 2021, and FOSSASIA Summit 2025, sharing expertise on Python in browsers for medical imaging applications and TypeScript patterns for concurrent processing, and open source developer productivity tools. Focused on practical implementations and real-world applications.

PyCon APACCOSCUPFOSSASIAMedical ImagingElectron
CARTA Visualization

Astronomy Software Development

Led development efforts for CARTA (Cube Analysis and Rendering Tool for Astronomy) at Academia Sinica, an open-source project collaborating with international teams to revitalize its development. Improved core performance and resolved critical issues through close collaboration with astronomers across Taiwan, US, and Canada.

C++JavaScriptPython

Patent

US Patent

US8493362

View on Google Patents

Image-based coordinate input apparatus and method utilizing buffered images

This invention provides an image-based coordinate input apparatus and method for detecting positions of objects on a coordinate input region. The system captures and buffers successive images from multiple viewpoints to accurately calculate object positions, enabling more precise touch and gesture recognition in interactive displays.

Filed: January 4, 2010 • Granted: July 23, 2013

Computer VisionTouch TechnologyInteractive Displays