Summary
Christopher Kok is a founding Machine Learning Engineer and technical founder with nine years of experience building scalable, secure AI systems across startups, academia, and aerospace. He combines hands-on ML research in human-computer interaction and NLP for education with production-grade engineering—designing containerized pipelines, knowledge-graph grounded LLMs, and OWASP-compliant anonymization that drove measurable efficiency and privacy gains. At Raytheon/Collins he led large teams and an ML community of practice to standardize AI adoption across enterprise projects processing hundreds of thousands of images daily, and in startups he secured strategic partnerships and early enterprise traction. A PhD student in HCI at the University of Michigan, he uniquely bridges pedagogical research and productization, publishing at Learning@Scale while shipping end-to-end systems and mentoring global learner communities. Off the clock he’s a puzzle-loving maker who applies the same curiosity to pyrography and pet projects as he does to production ML.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Human Computer Interaction, Doctor of Philosophy - PhD, Human Computer Interaction at University of Michigan
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Purdue University