CV

This is a short overview of my CV.

Basics

Name Claas Beger
Label Post-baccalaureate Research Fellow
Email claasbeger@gmail.com
Url https://claasbeger.github.io/

Education

  • 2024.08 - 2025.05

    Ithaca, New York

    MEng
    Cornell University
    Computer Science
  • 2022.01 - 2022.05

    Hong Kong

    Exchange
    Hong Kong University of Science and Technology
    Computer Science
  • 2019.10 - 2024.03

    Munich, Germany

    BS
    Technical University of Munich
    Information Systems

Work

  • 2025.06 - Present

    Santa Fe, New Mexico

    Postbacc Research Assistant
    Santa Fe Institute
    Investigating and improving capabilities of current AI systems in multimodal settings on abstraction and reasoning tasks, collaborating with Professor Melanie Mitchell.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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