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