nevzatbol
Nevzat BOL
Ankara, Turkey

I'm an innovative R&D engineer working to achieve the goals I have set for myself, and have managed to improve myself throughout the years. I see learning how to learn as my greatest achievement in life. My areas of interest are robotics and artificial intelligence.

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26.9
CodersRank Rank
Top 7%
Top 50
Jupyter Notebook
Jupyter Notebook
Developer
Turkey
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
INTECRO ROBOTICS
Apr 2019 - Apr 2022 (3 years)
Ankara, Turkey
R&D Engineer
R&D Engineer
robotics c# python unity ros tensorflow numpy opencv pandas scikit learn matplotlib keras scipy jupyter notebook deep learning computer vision machine learning linux
ELFATEK ELEKTRONIK
Jul 2017 - Aug 2017 (1 month)
Konya, Turkey
Engineering Intern
Engineering Intern
python opencv computer vision
Asimetrik Sound, Lighting and Visual Systems Inc.
Jul 2016 - Aug 2016 (1 month)
Ankara, Turkey
Engineering Intern
Engineering Intern
Add some compelling projects here to demonstrate your experience
Robotaksi
Jun 2018 - Sep 2018
We participated in the advanced category of the Robotaksi competition, which will be held as part of Teknofest Istanbul. We made the 3D modeling of the robot that we've developed. Control of the robot was carried out by providing lane tracking, vehicle overtaking, autonomous parking, road planning, and detection of traffic signs.
python ros tensorflow computer vision deep learning keras opencv
Autonomous Vehicle
Jan 2018 - Aug 2018
We participated in TÜBİTAK Efficiency Challenge - Electric and Autonomous Vehicle. With the data obtained from the sensors placed on our approximately 270 kg weighing vehicle, steering control, vehicle speed control and brake control are provided. In addition, vehicle control system has been developed by using canbus protocol to provide communication between different sensors that takes place inside the vehicle.
python ros tensorflow computer vision deep learning keras opencv
Small Autonomous Vehicle
Oct 2017 - Jun 2018
Within the scope of the Openzeka MARC (Small Autonomous Vehicle) competition, ROS (Robot Operating System) based autonomous vehicle algorithms has been developed. Jetson TX2, Sweep Lidar, Zed camera, IMU sensor, and VESC are some of the sensors and devices used to control and develop the vehicle. Also, Simultaneous localization and mapping (SLAM), image processing, and deep learning algorithms are used to control the vehicle. Line tracking, obstacle avoidance, autonomous parking, path planning, and traffic signs detection were the main tasks of the project.
python ros tensorflow computer vision deep learning keras opencv

This section lets you add any degrees or diplomas you have earned.
Konya Technical University
Master's degree, Electrical and Electronics Engineering
Feb 2020 - Jun 2022
Selcuk University
Bachelor's degree, Electrical and Electronics Engineering
Jan 2014 - Jan 2018
NVIDIA
Introduction to Deep Learning
Apr 2017

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