Summary
Samuel Rivera is a Principal Machine Learning Engineer with a decade of experience bridging academic research and industry-grade ML systems, currently leading ML efforts at Kudu Dynamics in Columbus, Ohio. He holds a PhD in Electrical Engineering from The Ohio State University and has applied deep learning, computer vision, and probabilistic modeling across roles at AWS, Ball Aerospace, and research labs. His work spans the full lifecycle from noisy-data cleanup and feature engineering to deploying anomaly detection and LLM-enabled big-data solutions in production. Samuel combines strong leadership and mentoring skills with hands-on algorithm development, having previously modeled cognition with SOMs and hierarchical Bayesian methods. He is comfortable working across Python, MATLAB, R and Linux toolchains, and has a track record of translating complex, messy datasets into actionable models. Notably, his background in cognitive neuroscience gives him an unusual edge for creating interpretable ML that respects human learning patterns.
10 years of coding experience
15 years of employment as a software developer
Bachelor of Engineering (BE), Electrical Engineering, Bachelor of Engineering (BE), Electrical Engineering at University of Delaware
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at The Ohio State University
English, python, matlab, c/c++, r