Summary
James Guzman is a Senior Software Engineer with 11 years of experience building autonomous systems and AI infrastructure across medical robotics, unmanned aircraft systems, and self-driving vehicles. He blends full-stack C++/Python engineering with deep learning research—having developed high-performing 3D UNet variants for stroke MRI segmentation and end-to-end data pipelines using Apache NiFi for clinical datasets. At startups and enterprises he has shipped middleware (DDS/Kafka), robotics control stacks, and medical imaging platforms that integrate real-time messaging, PySide UIs, and efficient C++/Python pipelines. James uniquely pairs hands-on embedded and middleware experience with ML model development and deployment, and his master’s thesis work advanced stroke lesion detection while navigating IRB and large-scale dataset management. Based in San Francisco, he’s driven by applying autonomy and AI to improve minimally invasive medical care and has a proven track record of turning research prototypes into production-ready systems.
10 years of coding experience
1 year of employment as a software developer
Master of Science (MS) Artificial Intelligence, Master of Science (MS) Artificial Intelligence at San José State University
Nanodegree Self Driving Car Engineer, Nanodegree Self Driving Car Engineer at Udacity
Spanish