Salih Marangoz

is about to graduate. 🎓

Bis 2024, Computer Science, Rheinische Friedrich-Wilhelms-Universität Bonn

Bonn, Deutschland

Fähigkeiten und Kenntnisse

Python
Git
C++
ROS
Deep Learning
Machine Learning
Image Processing
Robotics
Java
Qt
JavaScript
MatLab
SQL
Linux
Forschung und Entwicklung
Softwareentwicklung
Research and Development
Statistics
Teamwork
Collaboration
Problem Solving
Linear algebra
Probability
Ubuntu
linux
Robot Operating System (ROS)
NumPy
seaborn
Matplotlib
Python pandas
SciPy
scikit-learn
PyTorch
OpenCV
Raspberry Pi
Arduino
eigen
STL
boost
Docker
lxd
GitHub
MS Office
Computer Engineering
Sensor technology

Werdegang

Berufserfahrung von Salih Marangoz

  • 2 Jahre und 9 Monate, Juni 2021 - Feb. 2024

    Student Research Assistant

    Rheinische Friedrich-Wilhelms-Universität Bonn

    Modeling Capsicum plants with superellipsoids using non-linear optimization on 3D point cloud data. Filtering & pre-processing of raw depth sensor data and mapping of the environment. The project is open-source and available on GitHub: https://github.com/salihmarangoz/capsicum_superellipsoid_detector

  • 1 Jahr und 9 Monate, Jan. 2018 - Sep. 2019

    Research and Development Engineer

    Polonom Robotics

    Developed and maintained SLAM, navigation, and mission controller modules as well as server infrastructure of the company. Took a part in the home cleaning robot project and AGV project. Worked as an educator and assistant in teaching foreign institutions deep learning. Also participated in SSB Roboik competition and took 1st prize with the team.

  • 2 Monate, Juli 2017 - Aug. 2017

    Software Developer

    YTU Probabilistic Robotics Group

    Optimized and configured robot modules for Robocup 2017. (ROS, C/C++, Python). Optimized long planning running times (>10 mins) down to a few seconds with efficient methods.

  • 2 Monate, Aug. 2016 - Sep. 2016

    Software Developer

    Garanti Teknoloji

    Account transactions page task for the ATM project was completed. (Java, Javascript, PL2)

Ausbildung von Salih Marangoz

  • 3 Jahre und 5 Monate, Okt. 2020 - Feb. 2024

    Computer Science

    Rheinische Friedrich-Wilhelms-Universität Bonn

    Completed Courses: Machine Learning, Deep Learning for Visual Recognition, Pattern Recognition 1, Computer Vision 2, Technical Neural Networks, Cognitive Robotics, Visual Data Analysis, Cuda Lab Vision

  • 5 Monate, Feb. 2017 - Juni 2017

    Erasmus+

    Riga Technical University

  • 3 Jahre und 10 Monate, Sep. 2014 - Juni 2018

    Computer Engineering

    Yıldız Technical University

    Graduated as an Honour Student

Sprachen

  • Englisch

    Fließend

  • Türkisch

    Muttersprache

Interessen

Music
Cooking
Reading
Tinkering
Photography

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