// About me
Hello there. :)
I graduated in may 2024 with a M.Sc. degree in data engineering from the Technical University of Munich. While I spent most of my studies in Munich, I worked at the end of 2023 for one year as a deep learning student researcher in medical imaging in Boston. There, I published a paper at MICCAI2024.
Prior to Boston, I worked at Prof. Matthias Niessner's visual computing lab, where I published a paper at BMVC2023.
During my undergraduate studies, I spent most of my time building web scrapers and applications for the web and desktop, where I worked as an intern and co-founder of a small SaaS.
I am currently working as an AI software engineer at [ept.ai](ept.ai) in San Fransisco.
Skills
I worked with all below listed technologies during some of my projects, past experiences, and/or university courses.
Languages
Python
TypeScript
Java
Frameworks
Pytorch
Hydra
Dash
Plotly
React
Electron
NextJs
FastAPI
GraphQL
Libraries
Pandas
SciPy
ReactFlow
TailwindCSS
SQLAlchemy
Sequelize
MobX
boto3
Socket.io
Firebase
Others
Linux
Git
Docker
AWS Lambda
Grafana
CI/CD
PostgreSQL
MongoDB
NodeJS
Strapi
Traefik
SQL
Experience
Deep Learning Student Researcher
Psychiatry Neuroimaging Laboratory, Harvard Medical School, Brigham and Women’s Hospital, BostonOct. 2023 - Sep. 2024
Education
M.Sc. Data Engineering and Analytics
Technical University of Munich
2024
- Relevant courses: Data Engineering, Data Analysis, Cloud-Based Data Processing, Machine Learning, NLP, Computer Vision, Statistics
B.Sc. Information Systems
Technical University of Munich
2021
- Relevant courses: Data Structures & Algorithms, Object-Oriented Programming, Software Engineering, Databases