Summary
Mohsen Vazirizade is a Machine Learning Software Engineer with nine years of experience building and productionizing deep learning and statistical models for safety-critical and customer-facing systems. He has moved between industry and academia—most recently designing and deploying DL solutions at Apple after senior ML roles at Cruise, Rivian, and Walmart Global Tech—bringing expertise in TB-scale data pipelines, CI/CD for ML, and big-data platforms like Spark and Databricks. His work spans autonomous vehicles, reliability prognostics, and consumer engagement models, with practical wins such as a $4M/year data optimization at Rivian and feature-store/XAI contributions using SHAP. Academically grounded as a postdoctoral scholar and PhD-holder, he blends formal research in uncertainty quantification and cyber-physical systems with hands-on engineering. Colleagues describe him as a cross-functional bridge-builder who mentors teams and translates research into robust, scalable production systems. Based in Mountain View, he combines deep domain knowledge in reliability and production ML with a knack for turning complex sensor and field data into actionable, safety-focused solutions.
9 years of coding experience
8 years of employment as a software developer
The University of Arizona
Bachelor's degree Civil and Environemntal Engineering, Bachelor's degree Civil and Environemntal Engineering at Iran University of Science and Technology
Post Doctoral Computer Science, Post Doctoral Computer Science at Vanderbilt University
Master of Science (M.Sc.) Risk and Earthquake Engineering, Master of Science (M.Sc.) Risk and Earthquake Engineering at Sharif University of Technology
English, Arabic, German, Persian