James Giammona

James Giammona is a Physics PhD with strong expertise in scientific simulation, Python, and modern C++. He has 10 years of experience and has worked on various computer vision topics like state estimation, visual SLAM, multiple-view geometry, and structure from motion.

His skill set includes a solid quantitative foundation encompassing vector calculus, differential equations, linear algebra, and graduate level statistics. Furthermore, he is knowledgeable about the latest deep learning techniques and excels in continuous integration, testing, and deployment of containers to AWS using Docker, TravisCI, and Kubernetes.

James Giammona holds a Ph.D. in Physics from the University of California, Santa Barbara, and a Bachelor's Degree in Physics with Distinction in the Major from Yale University. He is currently a Software Engineer - Platform at Diligent Robotics and has previously held positions such as Senior Software Engineer at Antithesis, Graduate Teaching Assistant at the University of California Santa Barbara, Researcher at Naval Postgraduate School, Engineering Intern at General Atomics, and Researcher at CERN.

James Giammona is enthusiastic about applying his background in physics and simulation to contribute to the advancement of robotics and autonomy.