Summary
James Hoctor is a Machine Learning Engineer with nine years of experience applying data science and ML across healthcare, surrogate modeling, and large enterprise applications. He holds a master's in computer science from Duke and a BS in mathematics from RPI, and has moved research prototypes into production roles at Kitware, Infinia ML, and now Cargill. His background spans computer vision, ROS, Python/C++ development, and working with high-resolution sensor data and electronic health records, blending rigorous math with practical engineering. Notably, his GitHub bio hints at a playful, code-first curiosity, reflecting an engineer who values both algorithmic depth and hands-on experimentation.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science in Mathematics with minors in Physics and Computer Science, Mathematics, Bachelor of Science in Mathematics with minors in Physics and Computer Science, Mathematics at Rensselaer Polytechnic Institute
Master's degree in Computer Science, Computer Science, Master's degree in Computer Science, Computer Science at Duke University Graduate School