William Gerecke is a Machine Learning Engineer with nine years of experience specializing in computer vision and applied ML across robotics and biomedical research. He has progressed from software engineering roles into senior ML scientist positions, most recently joining RAI Institute after building production-focused vision models at Soft Robotics and Oxipital AI. His background includes high-throughput research at Harvard’s HiTS where he generated massive protein contact-map datasets and developed TensorFlow pipelines and a reusable Python package now used in academic labs. Comfortable bridging research and production, he combines deep mathematical interests (group theory and geometric representations) with hands-on engineering to turn novel ML ideas into deployable systems. Located in Greater Boston, he excels at taking cutting-edge techniques from prototype to impact in real-world settings.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Statistics, Bachelor of Science - BS, Computer Science and Statistics at University of Toronto
Contributions:1 PR, 55 pushes, 6 branches in 1 month
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William Gerecke - Machine Learning Engineer at RAI Institute