
Hi! 👋🏼
I am Philipp. I've been working as a research associate and doctoral student at TU Dresden since December 2021. Here I am responsible for the development of the PrioBike app and do research on the intelligent integration of cycling and infrastructure data. Previously, I was a tutor in the Software Technology and Software Practicum courses for several years. Since 2016, I have also been implementing freelance software projects for clients. Here are a few projects I have worked on:























Apps.
I developed my first iOS app in 2016. Since then, I've added numerous others - including Android apps. Today, I have over 25,000 downloads and a large portfolio of technologies.
Tech Stack
Cross-Platform: Flutter, Dart. Native: Swift (UI), Kotlin. Web: SCSS, Yarn & Webpack, TypeScript. CI/CD: Fastlane, GitHub Actions.
ML.
Machine Learning is an important solution concept for complex problems. For example, I have already used ML to recognize the transportation mode by porting to smartphones, or to reconstruct my own voice by transfer learning. ML is also a central part of my research.
Tech Stack
Data Analysis: Jupyter, Matplotlib, Pandas, Numpy. Training of Models: TensorFlow (Keras), SciKit-Learn. Porting: TensorFlow Lite, CoreML. Hardware: Google Colab.
Tech Stack
Data Analysis: Jupyter, Matplotlib, Pandas, Numpy. Training of Models: TensorFlow (Keras), SciKit-Learn. Porting: TensorFlow Lite, CoreML. Hardware: Google Colab.
Big Data
Machine learning means understanding data. My research focuses on how data can be used to generate added value for app users.
Big Data
Machine learning means understanding data. My research focuses on how data can be used to generate added value for app users.
Cloud.
I primarily work with backend architectures of containerized microservices to maximize extensibility, scalability, and robustness.
grep "Advanced Experience" tech.stack
Containerization: Docker.
Deployment: Docker Compose.
Monitoring: Prometheus, Grafana, Sentry.
CI/CD: GitHub Actions, Watchtower.