Jalil Khiarak is an Expert Algorithm Development Engineer based in Krakow with 8 years’ experience building AI-driven solutions across autonomous driving, biometrics, and education technology. He holds PhD-level training in biometry/biometrics and combines academic research experience with hands-on industry roles at Aptiv, Omniaz, and SonarHome, delivering image-recognition and deep learning systems for safety-critical automotive applications. Known for turning research into production-ready algorithms, he has worked from AFM image analysis in bioinformatics to end-to-end models for vehicle perception and house-price prediction. Fluent in interdisciplinary collaboration, he brings a rare mix of biometric deep-learning expertise and practical system integration that improves vehicle intelligence and user-facing AI products.
8 years of coding experience
4 years of employment as a software developer
Master’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at University of Tabriz
Charles III University of Madrid (Universidad Carlos III de Madrid)
Doctor of Philosophy - PhD, Biometry/Biometrics, Doctor of Philosophy - PhD, Biometry/Biometrics at Warsaw University of Technology
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Sabalan University - Ardabil
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Jalil Khiarak - Expert Algorithm Development Engineer at Aptiv