Alex Vesel is a robotics machine learning engineer with 13 years of experience building scalable research infrastructure and deploying vision and sensor-fusion models to production at Tesla, currently working on Optimus AI. He blends a strong academic background from Stanford and UW–Madison with hands-on algorithm engineering—designing autolabel pipelines, IMU/GNSS fusion, and precise 3D human pose estimation that have run on millions of vehicles. Comfortable collaborating with researchers and engineers, he has applied deep learning to satellite imagery for population estimation and trained models on HPC clusters. Equally at home in low-level sensing math and end-to-end software systems, he has a knack for turning research prototypes into robust, production-grade tooling. Based in Palo Alto, he is passionate about solving complex modeling problems and bringing data-driven science into scalable products.
13 years of coding experience
1 year of employment as a software developer
BS Computer Science, BS Computer Science at University of California, Davis
A command line utility that wraps the Java OWL-API to parse RDFS, OWL and OBO ontologies.
Contributions:6 releases, 1 PR, 19 pushes in 3 years 3 months
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