Michael Ball is a machine learning engineer with nine years of experience who specializes in turning state-of-the-art research into reliable, production-grade systems across healthcare and UX analytics. Currently building ML for Vara’s breast cancer screening platform, he previously led engineering at Oculid where he moved the company from notebook prototypes to scalable MLOps—introducing DVC, MLFlow, CI/CD, and the data pipeline that enabled the world’s largest gaze prediction dataset. Comfortable across the stack, he ships models and services using Python, TensorFlow/PyTorch, Docker, AWS, Terraform and CI tooling, and has delivered measurable performance wins like 8x serving speedups and a 9% error reduction via model redesign. A Brown University honors graduate who won a senior prize for ML research, he also explores real-time music visualization and other creative applications of generative models. Notably, he blends hands-on optimization (GPU scheduling, TFLite edge work) with engineering leadership, GDPR-aware data practices, and a product-focused mindset.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS w. Honors, Computer Science, 3.9 GPA, Bachelor of Science - BS w. Honors, Computer Science, 3.9 GPA at Brown University
High School, Dux (Valedictorian) - highest ranking student in academics., High School, Dux (Valedictorian) - highest ranking student in academics. at King's College, Auckland, New Zealand
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