Experience

manitz | finsterwald

• Germany
• Law Practice
• 1 - 100 Employee

• Patent Attorney Candidate

  • Nov 2020 - Present



IAV GmbH

• Germany
• Engineering Services
• 700 & Above Employee

• Masterarbeit

  • Sep 2019 - May 2020

  As part of my master thesis I developed a data-driven approach for modeling a li-io battery by using neural networks. Our goal was to predict battery voltage behaviour using deep learning (DL) models. In particular, we used multivariate timeseries data of the battery to train and evaluate different model architectures including convolutional neural networks (CNN), long short-term memory cells (LSTM), gated recurrent units (GRU), attention-based models and generative adversarial networks (GAN). The work was implemented by using Tensorflow and Keras.



Technical University of Munich

• Germany
• Research Services
• 700 & Above Employee

• Research Intern

  • Mar 2019 - Jun 2019

  At the chair of control theory at TUM I worked as an intern in a project in the field of autonomous driving. Our main goal was to incorporate a collision avoidance algorithm based on stochastic model predictive control into a benchmark framework called “Commonroad”. The algorithm was implemented in Matlab and Python. At the chair of control theory at TUM I worked as an intern in a project in the field of autonomous driving. Our main goal was to incorporate a collision avoidance algorithm based on stochastic model predictive control into a benchmark framework called “Commonroad”. The algorithm was implemented in Matlab and Python.



in-tech GmbH

• Germany
• IT Services and IT Consulting
• 400 - 500 Employee

• Werkstudent

  • May 2017 - Jan 2019

• Praktikant

  • Mar 2017 - May 2017