Reza Katebi
Senior Staff ML Engineer (Lead) | Leading GenAI and GenAI Infrastructure at Tesla | Ph.D.
- Role
- Senior Staff Machine Learning Engineer and Manager, Genai and Genai Infrastructure at Tesla
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Reza Katebi
I currently lead Tesla\'s global Generative AI transformation, managing a cross-functional team dedicated to designing and deploying secure, on-premises AI infrastructure and innovative AI-driven products that serve both internal operations and external customers. My focus is on delivering robust, scalable, and secure solutions throughout the company, guided by empirical, data-driven methodologies to ensure measurable and impactful results.My professional background bridges cutting-edge industry practices with rigorous academic research. I earned my Ph.D. in Astrophysics from Ohio University, specializing in analyzing nuclear outbursts in galaxy centers through advanced computer vision and deep learning techniques—skills that strengthen my approach to complex problem-solving and data-intensive innovation.My core expertise includes Machine Learning, Deep Learning, Computer Vision, Mathematical Modeling, Large Language Models (LLMs), Large Vision Models (LVMs), and AI Infrastructure Development.
Experience
Senior Staff Machine Learning Engineer and Manager, Genai and Genai Infrastructure
Apr 2024 — Present · San Diego, CA, US
Leading GenAI transformation of Tesla globally.
Education
Ohio University
Doctor of Philosophy - PhD, Astrophysics
2014 — 2019
Yasuj University
Bachelor of Science (B.S.), Condensed Matter and Materials Physics
2008 — 2011
California State University-Fullerton
Master's degree, Theoretical and Mathematical Physics
2013 — 2014
Skills
- High Energy Physics
- Special Relativity
- Computational Physics
- Microsoft Office
- Python
- Latex
- Numerical Analysis
- Theory
- Big Data
- Science
- Matlab
- Computational Modeling
- Mathematics
- Simulations
- Mathematica
- Physics
- Fortran
- Programming
- Data Analysis
- General Relativity
- Research
- Mathematical Modeling
- R
- Statistics
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