Cem Eteke
Research Associate (PhD Candidate)
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolCem Eteke is a Research Associate and PhD candidate at the Technical University of Munich with a decade of experience at the intersection of robot learning, human-robot interaction, and computer vision. His work centers on extracting perceptual goals from demonstrations to bootstrap self-supervised skill learning and dense reward estimation for robotic manipulation. He has combined academic research with applied roles—ranging from AI engineering and data science to web development—and spent a visiting research stint at Télécom Paris working on 3D Gaussian splatting and perceptual compression. Comfortable in ROS-based robotics stacks and modern ML tooling, he bridges simulation, perception, and optimization to improve robot behavior. Based in Munich, he brings both deep technical rigor and practical deployment experience, unusually pairing long-term academic training with early hands-on product engineering.
10 years of coding experience
4 years of employment as a software developer
Dr.-Ing., Electrical and Computer Engineering, Dr.-Ing., Electrical and Computer Engineering at Technical University of MunichMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Koç University
English, German, Turkish
Github Skills (36)
pytorch10
python10
data-science10
python-ui10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
highdpi9
customtkinter9
ttk9
tkinter9
jax8
Programming languages (4)
Github contributions (5)
ceteke/cae
Sep 2017 - Oct 2017
Contributions:238 commits, 222 pushes, 9 branches in 27 days
ceteke/datapy
Sep 2017 - Nov 2017
Contributions:34 commits, 4 pushes in 1 month
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