Summary
Anil Ozturk is a machine learning specialist with 8 years of experience who blends research-driven innovation with practical production delivery across autonomous driving and battery diagnostics. Currently a Senior Data Scientist at Trendyol Group and a Kaggle Master, he frequently competes on Kaggle and prefers PyTorch for deep learning, scikit-learn for classical ML, and Ray-RLLib / stable-baselines3 for reinforcement learning. His work at Eatron produced dockerized pipelines for battery remaining-useful-life estimation and fault detection, and he has built RL-based lane-changing agents and customized object-detection networks from SOTA variants. With an MS in Computer Engineering from Istanbul Technical University and a background in mechatronics, he bridges sensor-level engineering and advanced ML, often turning research prototypes into deployable systems. Notably, he has experience automating curriculum learning for RL and generating realistic traffic trajectories with GANs, showing a strong inclination toward simulation-driven model development.
8 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Bursa Ahmet Erdem Anatolian High School
Master of Science - MS, Computer Engineering, 3.88/4.0, Master of Science - MS, Computer Engineering, 3.88/4.0 at Istanbul Technical University
Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering, 3.05/4.0, Bachelor of Science - BS, Mechatronics, Robotics, and Automation Engineering, 3.05/4.0 at Yildiz Technical University
Turkish, English