Daniel Barta
Working Student – Quantum Computing & AI
Experience
Working Student – Quantum Computing & AI
Fraunhofer FOKUS
- Built diffusion-based pipeline for generation of parameterized quantum circuits
- Accelerated quantum benchmark runs with surrogate models
- Built neuro-symbolic reasoning modules for legally compliant autonomous driving
Intern – Engine and Data Analytics
BMW Group
- Enhanced automated model verification pipelines, reducing testing time and improving accuracy
- Optimized database schemas for faster retrieval, improving analytics efficiency
- Analyzed driving-behavior datasets using Python and MATLAB with advanced game-theoretic models
Industry Experience
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Experienced in Automotive and Information Technology.
Business Area Experience
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Experienced in Research and Development, Product Development, and Business Intelligence.
Summary
Data-driven engineer with a solid background in computer science and software engineering, experienced in machine learning, optimization, and data analytics.
Skills
Technologies
- Python
- Java
- Matlab
- Swift
- Javascript
- C++
- Pytorch
- Tensorflow
- Docker
- Git & Github
- Linux/unix
- Sql
Soft Skills
- Analytical Thinking
- Problem-solving
- Clear Communication
- Collaboration
- Adaptability
- Interdisciplinary Teamwork
Languages
Education
Technical University of Berlin
M.Sc. in Electrical and Information Engineering · Electrical and Information Engineering · Berlin, Germany
Technical University of Munich
B.Sc. in Electrical and Information Engineering · Electrical and Information Engineering · Munich, Germany
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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