cv
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Basics
Name | Claas Beger |
Label | Graduate Teaching and Research Specialist |
claasbeger@gmail.com | |
Url | https://claasbeger.github.io/ |
Education
Work
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2025.01 - 2025.05 Ithaca, New York
Graduate Teaching and Research Specialist
Cornell University
Created and graded exams for the course Introduction to Machine Learning.
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2022.10 - 2023.02 Munich, Bavaria
Project Associate for iOS App Development
Siemens
Developed a decentralized decision-making application for autonomous agents in Swift and built an auctioning algorithm under the strategy pattern to optimally match agents with clients.
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2022.06 - 2023.01 Munich, Bavaria
Responsible AI Engineering Intern
PwC
Integrated and adapted XAI libraries (SHAP, LIME) into a unified assessment engine compatible with TensorFlow, PyTorch, and scikit-learn. Developed and presented a project white paper at BitKom Big Data & AI Summit Berlin 2022.
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2021.10 - 2022.01 Frankfurt, Hessia
Financial Technologies SWE Intern
Deutsche Bank
Created and maintained microservices with Python and Java (SpringBoot) on Fabric (RedHat OpenShift). Migrated and analyzed financial databases using FlywayDB, JDBC, JPA, and PostgreSQL.
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2020.09 - 2021.06 Munich, Bavaria
Research Assistant
Helmholtz Center Munich
Developed neural networks for classification and clustering of over 20 million single cell samples using Python (TensorFlow, Keras, Pandas) and created an autoencoder for generating synthetic diabetic cell samples.
Publications
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2025.01.01 Decoding Human Preferences in Alignment: An Improved Approach to Inverse Constitutional AI
ArXiv Preprint. Authors: Carl-Leander Henneking*, Claas Beger*.
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2025.01.01 CoCoNUT: Structural Code Understanding does not fall out of a tree
LLM4Code Workshop at ICSE2025. Authors: Claas Beger, Saikat Dutta.
Skills
Programming Languages | |
Python | |
C++ | |
Java | |
Swift | |
SQL |
Frameworks & Tools | |
PyTorch | |
TensorFlow | |
Numpy | |
scikit-learn | |
Pandas | |
SpringBoot |
Areas | |
Machine Learning | |
NLP | |
Computer Vision | |
Software Engineering | |
Data Mining | |
Technical Presentation |
Languages
English | |
Fluent |
German | |
Native |