Summary
Ahmet Ozbek is a Senior Machine Learning Engineer based in Istanbul with a decade of experience building production ML and deep learning systems, particularly in computer vision, OCR, and document digitization. He has progressed from research roles at USC to hands-on ML leadership at Ottimate, where he has developed and deployed state-of-the-art models, managed GPU-backed AWS environments, and maintained AMIs for scalable training and inference. Prior roles at KoçDigital, OREDATA, and health-focused startups demonstrate his breadth across NLP, signal/image processing, and applied computer vision for enterprise and medical use cases. Comfortable across the full ML lifecycle—from ETL and dataset engineering to monitoring deployed models—he pairs strong engineering rigor with academic grounding (MS, USC) and a practical knack for turning visual data into structured insights. An unassuming detail: he has experience using ECG as a biometric in research, highlighting an interest in unconventional signal-based ML applications.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at University of Southern California
Exchange program Electrical Engineering , Exchange program Electrical Engineering at Boston University
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Boğaziçi University
English, Turkish