Goran Rauker is a Chief Data Scientist with over 15 years of professional software and imaging systems experience and nine years in data/ML-focused roles, currently leading data science at IDmission from Longmont, Colorado. He blends low-level C/C++ and embedded systems expertise with modern computer vision and deep learning applied to real-world products—from VIN-level vehicle recognition to precision optics and camera manufacturing software. His career spans startups and industry leaders (OmniVision, GoSpotCheck, Blinker App) where he built production-ready, multithreaded systems and imaging pipelines using tools like OpenCV, Qt, and Matlab. Goran’s background in electrical engineering (Notre Dame, Detroit Mercy) and hands-on precision optics work gives him a rare cross-disciplinary edge for solving challenging signal- and vision-based problems. He’s known for shipping maintainable, efficient designs that bridge research models and scalable deployments, frequently combining handcrafted features with state-of-the-art deep models.
9 years of coding experience
19 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at University of Notre Dame
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at University of Detroit Mercy
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