Shao-qian Mah is a Member of Technical Staff and entrepreneurial engineer with 14 years of experience building and deploying real-world AI systems at scale. He has co-founded multiple startups, recruited and managed teams of up to 40 people, and shipped ML-powered products used across critical infrastructure—most notably computer vision models and ALPR systems running in 80+ locations across Hong Kong’s MTR serving over 1.3 billion annual riders. His background spans research and product roles at OpenAI, Google, Microsoft, NVIDIA and Oracle, bridging model alignment, explainable AI, and cloud-native ML infrastructure. Shao-qian combines hands-on engineering (Python, TensorFlow, Kubernetes) with product instincts from founding consumer and hardware startups, delivering end-to-end solutions from sensors to scalable inference. Based in San Francisco, he’s as comfortable sketching product UX as he is tuning model pipelines, and outside work he’s an avid kayaker who favors sleeping under the stars—an inclination that mirrors his practical curiosity for systems that operate reliably in the wild.
13 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Sciences (EECS), Bachelor of Science - BS Electrical Engineering and Computer Sciences (EECS) at University of California, Berkeley
Bachelor of Science - BS Business Administration & Management, Bachelor of Science - BS Business Administration & Management at University of California, Berkeley, Haas School of Business
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Shao-qian Mah - Member Of Technical Staff at OpenAI