Summary
Hong Koay is a risk modelling and data scientist with a PhD in computer vision who has spent eight years translating academic AI research into practical products across edge AI, city mapping, and LLM-driven automation. His doctoral work on distracted driver detection and subsequent SLAM collaborations at Tsinghua underpin a rare blend of deep perception expertise and hands-on systems engineering—from LiDAR-backed city mapping to on-prem GPU cluster design and IoT dashboards. At startups and consultancies he’s shipped production-facing solutions such as facial-recognition check-ins, real-time environmental monitoring, and natural-language workflow automation, while leading proposals and bridging research with client needs. Comfortable across the stack (CUDA, Docker, Airflow) and experimental LLM integrations (Twilio/ElevenLabs/OpenAI), he enjoys turning complex ML into operational tools for smarter cities and workflows. Based in Alor Setar, Malaysia, he combines academic publications and awards with pragmatic delivery—often surfacing clever, resource-efficient architectures for constrained edge deployments.
8 years of coding experience
4 years of employment as a software developer
Secondary School, Secondary School at SMJK Keat Hwa
Visiting Scholar, Visiting Scholar at Tsinghua University
Foundation degree Science Module 2, Foundation degree Science Module 2 at Kedah Matriculation College
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Malaya
English, Chinese, Malay