Summary
Fernando Espinosa is a research engineer and machine learning practitioner with nine years of experience at the intersection of neuroscience, physics, robotics, and AI. He has built end-to-end data pipelines and deep learning models for recruitment systems, developed signal-processing and VR tools for auditory cognition research, and applied computational modeling in theoretical cardiology and robotics. Comfortable across Python, PyTorch, SQL and statistical tools (R), Fernando combines academic rigor from UC Davis with hands-on production engineering in Oakland. He brings a rare blend of experimental neuroscience insight and practical ML engineering, including mobile/Android and Oculus development, that helps translate complex research problems into deployable algorithms.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Cognitive Science (Neuroscience Emphasis), Bachelor of Science - BS, Cognitive Science (Neuroscience Emphasis) at University of California, Davis
French, Spanish, English