Experience

TUM.ai

• Germany
• Information Technology & Services
• 1 - 100 Employee

• Education Advisor

  • May 2023 - Present

  Advisor of the education department at TUM.ai

• Education Team Lead

  • May 2022 - May 2023

  Team lead at TUM.ai managing a team of ten students and organizing educational events with industry experts. Created a workshop series with 8 events and >100 participants.



BMW Group

• Germany
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Master Thesis Student

  • Mar 2023 - Present

  Master thesis at the BMW Autonomous Driving Campus about efficient training of convolutional neural networks. I am researching the effectiveness of different data pruning methods for image data with the goal of making the deep learning training flow at BMW more efficient. Master thesis at the BMW Autonomous Driving Campus about efficient training of convolutional neural networks. I am researching the effectiveness of different data pruning methods for image data with the goal of making the deep learning training flow at BMW more efficient.



Developer Student Club Munich

• Germany
• IT Services and IT Consulting

• Core Team Member

  • Oct 2022 - Present

  Organizing events for the Google Developer Student Club Munich Organizing events for the Google Developer Student Club Munich



Porsche Consulting

• Germany
• Business Consulting and Services
• 700 & Above Employee

• Data Analytics and Artificial Intelligence Intern

  • Oct 2022 - Feb 2023

  I developed a machine learning model to automatically classify user inquiries for a US airline as a POC I developed a machine learning model to automatically classify user inquiries for a US airline as a POC



Sopra Steria

• France
• IT Services and IT Consulting
• 700 & Above Employee

• Working Student Data Science & Artificial Intelligence

  • Jun 2021 - Nov 2021

  Working student for AI and data science and part of the data science domain; I analyzed graph data of German ISPs with Neo4j to find critical parts of their network without sufficient redundancy. I developed concepts for the usage of graph neural networks in PyTorch for process mining applications. Working student for AI and data science and part of the data science domain; I analyzed graph data of German ISPs with Neo4j to find critical parts of their network without sufficient redundancy. I developed concepts for the usage of graph neural networks in PyTorch for process mining applications.



Rohde & Schwarz

• Germany
• Telecommunications
• 700 & Above Employee

• Software Engineer Corporate Project Management

  • Jan 2020 - Dec 2020

  Working student in the department of Corporate Project Management at R&S; I worked with C# ( .NET ), Microsoft SQL Server, and Microsoft SSRS Working student in the department of Corporate Project Management at R&S; I worked with C# ( .NET ), Microsoft SQL Server, and Microsoft SSRS



Technical University of Munich

• Germany
• Research Services
• 700 & Above Employee

• Teaching Assistant for “Laboratory: Computer Organization and Computer Architecture”

  • Apr 2019 - Aug 2019

• Teaching Assistant for "Fundamentals of Databases"

  • Oct 2018 - Mar 2019



BMW Group

• Germany
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Student internship in the area of IT services

  • Jul 2015 - Jul 2015