Ross Mauck is a data scientist in San Francisco with eight years of experience blending scientific computing, computer vision, and systems engineering to deliver production-ready analytics and hardware-integrated solutions. He has co-founded and deployed camera-based livestock monitoring systems, built cloud-native data pipelines on AWS, and automated large-scale data extraction from USDA reports to inform animal welfare policy. Comfortable from low-level Linux kernel work for Coral TPUs to CUDA-accelerated physics simulations, he translates complex research and embedded problems into reliable, operational systems. Ross pairs domain expertise in computational physics with hands-on production experience in CV, visualization, and full-stack services, and often serves as the bridge between technical teams and nonprofit or field-facing clients. An unusual thread through his career is applying rigorous simulation and GPU optimization skills to real-world biological and agricultural problems, producing measurable operational impact.
8 years of coding experience
7 years of employment as a software developer
Semester Abroad, Theoretical and Mathematical Physics, Semester Abroad, Theoretical and Mathematical Physics at University of Otago
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Kenyon College
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