Jason Breijak is a Senior Machine Learning Engineer with over a decade of experience building large-scale data and HPC systems for automotive and enterprise customers. He has progressed from hands-on data center operations and NOC roles to designing ETL pipelines, sensor data APIs, and ML-driven anomaly detection and proximity search services for autonomous vehicle stacks. At Stellantis and prior at GM and Aptiv he paired physics-scale HPC integrations with practical data engineering (Hadoop, Spark) to turn sensor and CFD workloads into production-ready pipelines. His background as a combat engineer and data center lead gives him uncommon operational discipline and crisis-driven troubleshooting skills that inform his production-first approach to ML. Jason holds an MS in IT Management with a focus on business analytics and combines deep infrastructure know-how with a lifelong passion for computer science and neural nets.
10 years of coding experience
12 years of employment as a software developer
Coursera
Master of Science (M.S.), IT Management - Business Analytics, 3.58, Master of Science (M.S.), IT Management - Business Analytics, 3.58 at Oakland University
Contributions:8 commits, 17 pushes, 1 branch in 5 months
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