Navid Salehnamadi is a Staff Machine Learning Engineer based in Palo Alto with 11 years of experience blending research-grade rigor and production ML at companies like Tesla and Microsoft. Currently leading ML initiatives at Tesla after progressing from Senior ML Engineer, he brings deep algorithmic and systems expertise in Python and C++, grounded by a PhD pursuit in Software Engineering at UC Irvine. His background as a graduate research assistant and technical product manager enables him to translate cutting-edge research into scalable, product-ready solutions. Early leadership and engineering roles at Cafe Bazaar and Sharif/Tehran education roots give him a broad perspective on team building and software delivery across diverse environments. Notably, he pairs academic publications and internship experience with hands-on deployment experience in autonomous/ML systems, making him effective at closing the gap between prototype and production.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Sharif University of Technology
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at University of Tehran
Contributions:202 commits, 15 PRs, 165 pushes in 11 months
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Navid Salehnamadi - Staff Machine Learning Engineer at Tesla