Machine Learning Researcher

Building brains

Pushing the boundaries of AI at Siemens R&D. Expertise in developing and deploying enterprise-grade AI solutions—from multimodal foundation models and LLM agents to vision architectures—powered by distributed training pipelines and latency-sensitive inference engines.

Academic & Corporate Experience

Technical University of Munich
Deutsche Bank
Siemens
Friedrich-Alexander-Universität
Humboldt University of Berlin

Professional Experience

Corporate Experience

Siemens

Machine Learning R&D

Siemens AG • Berlin

Jul 2023 – present

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.

Deep LearningComputer VisionAzure MLYOLOTransformers
Deutsche Bank

Machine Learning - TDI Division

Deutsche Bank • Berlin

Jan 2023 – Jun 2023

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.

Machine LearningFinanceData SciencePythonTensorFlow

Featured Work

Explore my latest work

A collection of my projects, research papers, and machine learning expertise.

Machine Learning Projects

Implementations of cutting-edge ML algorithms and research papers, focusing on deep learning and quantum computing applications.

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Research Papers

Public notes on quantum computing and theoretical physics, including mathematical derivations and code implementations.

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Research Notes

Deep dives into AI, physics, mathematics, and computer science. Exploring complex concepts through clear explanations.

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Research Papers

Latest Paper Explanations

Deep dives into the most influential research papers in LLMs, computer vision and agentic models.