Baris Yazici
Robotics Software Engineer at RenterDeer
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolBaris Yazici is a robotics software engineer with 11 years of experience, currently shaping control architecture and research interfaces for Franka Robotics in Munich. He combines a Master's in Informatics from TUM with a strong robotics engineering foundation to deliver Cartesian and joint-impedance controllers, ROS 2 integrations, and CI/CD-driven deployment pipelines. Baris has applied machine learning to optimize task parameters—reducing force and execution time—and architects control stacks to enable next-generation robot extendibility. He pairs hands-on C++, Python, Eigen and PyTorch expertise with open-source stewardship of the FR3 ROS 2 package and libfranka interfaces. As a founder of a peer-to-peer rental startup and a past contributor to neurorobotics and humanoid control projects, he blends product-minded engineering with research-grade rigor. Colleagues rely on him for bridging research needs with production-quality robotics software and reproducible development workflows.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree Robotics Engineering, Bachelor's degree Robotics Engineering at Sabanci UniversityBachelor of Engineering (B.Eng.) Robotics Engineering, Bachelor of Engineering (B.Eng.) Robotics Engineering at Budapest University of Technology and EconomicsMaster's degree Informatics, Master's degree Informatics at Technical University of Munich
Turkish, English, German
Github Skills (88)
gymnasium10
ros10
2captcha10
robotics10
rental10
estate10
autoencoder10
pybullet10
q-learning10
lists10
depth10
ignition9
telegram-bot9
datasets9
machine-learning9
Programming languages (10)
Github contributions (5)
DiegoGabo/TUM_Mobility_Services
Oct 2017 - Feb 2021
Contributions:68 pushes in 3 years 4 months
BarisYazici/deep-rl-grasping
Oct 2020 - Jul 2022
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
Contributions:1 review, 12 commits, 5 PRs in 1 year 9 months
pybulletdeep-reinforcement-learningkukascenesreinforcement
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.