Profilbild von Sebastian Kuppa Machine Learning Engineer with deepened knowledge in neural networks, image processing. aus Petersberg

Sebastian Kuppa

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Letztes Update: 01.06.2023

Machine Learning Engineer with deepened knowledge in neural networks, image processing.

Abschluss: Msc Mechatronics TU Darmstadt, Bsc Mechatronics TU Darmstadt
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: Deutsch (Muttersprache) | Englisch (verhandlungssicher) | Französisch (Grundkenntnisse) | Spanisch (Grundkenntnisse)

Schlagwörter

Künstliche Neurale Netzwerke Bildverarbeitung C (Programmiersprache) HTML PHP Automatisierung C++ Ubuntu CSS Ingenieurwesen + 15 weitere Schlagwörter anzeigen

Dateianlagen

Msc_Kuppa.pdf
CV-Kuppa-2023-eng_250423.pdf
CV-Kuppa-2023-deutsch_250423.pdf

Skills

Recently working as a machine learning engineer for an intelligent Bin-Picking project at ISRA VISION Germany. Skills: Python, Convolutional Neural Networks(PyTorch, Tensorflow), OpenCV, ROS, C, C++, API, Linux, LiDAR, HTML, CSS, PHP, MYSQL, MatLab, Labview, Haskell, GIT, numpy, pandas, Docker
Master of Science graduate within the mechatronic faculty of the Technische Universität Darmstadt with deepened knowledge in neural networks, image processing, autonomous navigation, and automation engineering.

Projekthistorie

08/2019 - 09/2022
Software developer at ISRA VISION AG
ISRA VISION (Automobil und Fahrzeugbau, 500-1000 Mitarbeiter)

Development of a software application for autonomous robotic Bin-Picking with Convolutional Neural Networks using Pytorch (Python).

11/2018 - 05/2019
Research Intern at OMRON
OMRON

- Integration of a tactile XELA sensor for a robotic manipulator (Universal Robots) in ROS (Robotic Operating System)/Python
- Readout and record sensor data to localize industrial parts
- Development of a peg-in-hole insertion task (ROS/ Python) with the aforementioned robotic manipulator

09/2017 - 05/2018
Master-Thesis Student at CSIRO
CSIRO

- Integration, training, and comparison of convolutional neural networks (SSD, Faster R-CNN) for object detection with an 8-Camera system
- Development of a 3D localization algorithm based on the aforementioned convolutional neural networks

05/2016 - 12/2016
Industrial trainee at CSIRO
CSIRO

- Development of an autonomous driving robot (design, construction, programming)
- Robot build-up (wiring and soldering)
- Programming in ROS with C and Python in Linux (Ubuntu)
- The robot is able to navigate autonomously as well as manually with a joystick. It can approach location goals while avoiding obstacles on its own. In order to gain information about its environment, a Hokuyo LiDAR system was used

Reisebereitschaft

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Profilbild von Sebastian Kuppa Machine Learning Engineer with deepened knowledge in neural networks, image processing. aus Petersberg Machine Learning Engineer with deepened knowledge in neural networks, image processing.
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