Ozan Karaali is a PhD fellow in Electronic Systems at Aalborg University with nine years of experience building ML-driven systems, specialising in computer vision, edge computing, and low-latency 5G-connected assistive robotics. He architects end-to-end frameworks for cloud-connected prosthetics—combining multi-threaded Python inference servers, Jetson-based hardware interfacing, and srsRAN 5G links—to achieve real-time control demonstrated below 125 ms latency. His MS from TUM included state-of-the-art deep learning work on ultrasound super-resolution (Swin/Deblurgan and HAT-NAF models), and his background spans industrial R&D at BMW, DFKI, HAVELSAN and startups, contributing to HPC, video processing and CI/CD-driven production tools. Comfortable across Python, Rust, C/C++, NodeJS and cloud platforms, he blends research publications and conference presentations with hands-on deployment experience. Beyond engineering, he’s also an active musician, bringing a creative perspective to complex technical problems and human-centred assistive design.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electronic Systems, Doctor of Philosophy - PhD, Electronic Systems at Aalborg University
Bachelor of Science - BS, Computer Engineering, 3.68/4, Bachelor of Science - BS, Computer Engineering, 3.68/4 at Abdullah Gül University
English for Academic Purposes, English Language and Literature, General, 3.6/4 - Level 108, English for Academic Purposes, English Language and Literature, General, 3.6/4 - Level 108 at College of Mount Saint Vincent
Master of Science - MS, Informatik, 1.9 (German Grading), Master of Science - MS, Informatik, 1.9 (German Grading) at Technical University of Munich
Contributions:24 commits, 17 PRs, 21 pushes in 3 years
solveyolov3object-detectionrecaptcha
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