Machine Learning Engineer
Building the future of AI at Siemens R&D. Studying Physics and Computer Science at TU Munich. Experienced in developing and deploying production-ready ML systems. Passionate about quantum computing and theoretical physics.
Education & Professional Experience
Professional Experience
Corporate Experience
Machine Learning R&D
Siemens AG • Berlin
As part of the R&D team at Siemens AG, I specialize in developing deep-learning computer vision models to identify and interpret electrical elements and symbols. My work focuses on leveraging machine learning techniques to construct intelligent, energy-efficient smart grids and enhance predictive maintenance capabilities. I was responsible for building state-of-the-art Computer Vision models and training them on Azure ML studio using Compute Clusters.
Machine Learning - TDI Division
Deutsche Bank • Berlin
Worked in the Technology, Data & Innovation division at Deutsche Bank, focusing on applying machine learning techniques to financial data analysis and process automation. Developed and deployed ML models for various banking applications.
Featured Work
Explore my latest work
A collection of my projects, research papers, and technical blog posts in machine learning, physics, and computer science.
- Machine Learning Projects
Implementations of cutting-edge ML algorithms and research papers, focusing on deep learning and quantum computing applications.
- Technical Blog
Deep dives into physics, mathematics, and computer science. Exploring complex concepts through clear explanations.
- Research Notes
Public notes on quantum computing and theoretical physics, including mathematical derivations and code implementations.