Adrian Stobbe

📚 Education

Erasmus Exchange

UPC Barcelona, since Sept 2021

Master’s Degree in Computational Engineering & Science

TU Munich, since Oct 2020

Exchange Semester in Computer Science and Mandarin

Tsinghua University, Beijing, Sept 2019 - Feb 2020

  • focus on Chinese language
  • attended courses: Combinatorics & Algorithm design, Big Data & Machine learning

Bachelor’s Degree in Engineering Science

TU Berlin, Oct 2017 - Oct 2020

  • focus on fluid mechanics and numerical simulation

👨‍💻 Work experience

SAP STAR trainee

Working student, SAP, since Mar 2021

Currently working on the open-source project Kyma, a tool to ease deployment of applications on Kubernetes.

Post-processor and web development

Working student, dive solutions GmbH, Nov 2020 - Jan 2021

Development for the micro-services of the cloud simulation suite. My main work was to develop a new post-processing package in Python.

CFD development with FEM and SPH

Intern, Bachelor thesis, dive solutions GmbH, May 2020 - Nov 20

I learned about the theory of porous media and a particle-based CFD method called SPH and developed a 1D solver for porous media in Python to solidify my understanding. Furthermore, I supported an industrial cooperation project. I conducted complex simulations by preparing the geometry using CAD software, building the setup in the company’s Python interface, and evaluated the results in presentations for the client. I got involved in the C++ solver development and integrated additional physical models.

As part of my thesis, I developed a FEM porous media solver from scratch with C++. After that, I coupled FEM-SPH for simulating free-fluid-flow and porous-flow interactions. After validating the solver, I demonstrated the industrial capability by simulating a rotating 3D washing drum.

Insights into manufacturing

Technical intern, Ingenieurbetrieb Bickert, (Apr 2019- Jun 2019)

Assisted production and was introduced to company management and working procedures at a local milling engineering company.

Development of a Postprocessing tool for Combustion Experiments

Working student, TU Berlin - Institute of Fluid Dynamics, (Oct 2018 - Sept 2019)

Built an automated Python script for postprocessing experimental data. The tool can read entire measurement campaigns, create individual plots, and evaluate the success rate (detonation detection) for different configurations. I was in main-charge of the development, but collaborated with the research group through Git.


Scholar of the German Academic Scholarship Foundation, since Sept 2019

Scholar of the Deutschlandstipendium at TU Berlin, Oct 17 - Sept 2019

🛠 Skills

C++ ⭐️⭐️⭐️

Python ⭐️⭐️⭐️

Golang ⭐️⭐️

Web ⭐️⭐️️ : MERN stack



🗣 Languages

German (mother-tongue) : ⭐️⭐️⭐️⭐️⭐️

English : ⭐️⭐️⭐️⭐️

Spanish : ⭐️⭐️⭐️⭐️

Mandarin : ⭐️⭐️⭐️ (B2)

Events and prizes

Techlabs Munich, Web-Development Program, Nov 20 – Apr 21

Development of a small meal planner website in a small team (MealWheel)

Skoda x Innoway Hackathon “The future of mobility”, Beijing, Dec 2020, winner team with the proposal of an unifying micro-mobility concept

Bosch BCX20, Berlin, Feb 2021, ML challenge to improve the efficiency of injection modelling processes

Technology winter camp Tsinghua, Beijing, Jan 2020: building an autonomous model car