CV

General Information

Full Name Jona Ruthardt
Occupation Master's Student at University of Amsterdam
Nationality German
Languages English, German

Education

  • 09/22-07/24
    MSc Artificial Intelligence
    University of Amsterdam, Amsterdam (NL)
    • Master of Science, Artificial Intelligence
    • Courses in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Information Retrieval, Philosophy
  • 07/23
    IoT and AI Summer School
    Université Sorbonne Paris Nord, Paris (FR)
  • 10/18-09/21
    BSc Computer Science
    Baden-Wuerttemberg Cooperative State University, Stuttgart (DE)
    • Bachelor of Science, Computer Science (IT-Automotive)
    • Dual study degree in cooperation with Robert Bosch GmbH
    • Courses in Computer Engineering, Programming, Software Engineering, Automotive Software Development

Experience

  • 11/23-now
    Computer Vision Research Intern
    TNO - Intelligent Imaging Group, The Hague (NL)
    • Research into how large language models can be utilized for low-resource image classification
    • Master’s thesis is part of internship at TNO’s Intelligent Imaging Group
  • 04/23-now
    Research Assistant
    University of Amsterdam, Amsterdam (NL)
    • Investigation into exploiting generalization capabilities of large language models in vision domain
    • Extracurricular research project supervised by Dr. Yuki Asano (QUVA Lab)
  • 11/23-01/24
    Teaching Assistant
    University of Amsterdam, Amsterdam (NL)
    • Teaching and supervising tutorials as part of the UvA Deep Learning 1 course (master’s level)
    • Contributing to and grading assignments and exams
  • 10/21-08/23
    Data Analyst (Comercial Internal Auditing)
    Robert Bosch GmbH, Stuttgart (DE)
    • Supported commercial audits from a data analytics perspective by extracting data from corporate IT systems (e.g., SAP, data lake) and preparing dashboards (Excel, PowerBI) containing important KPIs and visualizations
    • Participated in Risk Management System audit and developed data analytics concept utilizing data from internal reporting tool
    • Utilized (un)supervised ML methods to develop and enhance analyses (anomaly detection in transactions, clustering of process and document types, double posting detection) using Python libraries such as scikit-learn or Keras
    • Developed approach that identified multiple compliance violations based on patterns in previous cases, and reporting framework for anti-money laundry that is actively used by legal division in the role of technical topic owner for fraud analytics
  • 10/18-09/21
    Dual Study Program Student
    Robert Bosch GmbH, Stuttgart (DE)
    • Participated in a dual study degree program in the field of study of computer science (specialization IT-Automotive)
    • Conducted several multi-month internships and research projects (see "Projects" section) at different business units and departments with an emphasis on artificial intelligence, computer vision, and autonomous driving
  • 06/19-02/21
    Working Student - Infrastructure and Digitalization
    bc-competence gmbh, Renningen (DE)
    • Managed project to adopt mobile device management (MDM) for Apple devices
    • Set up and maintained IT infrastructure (local network, active directory, SAP, etc.)
    • Involvement in the application for public research grants for cloud and digitization projects

Honors and Awards

  • 2024
    • Accapted into MSc Honours Programme offered by the ELLIS Unit Amsterdam
  • 2022
    • Award for Best Bachelor's Thesis of the 2021 and 2022 academic year in the domain of Artificial Intelligence across all establishments and locations of the Baden-Wuerttemberg Cooperative State University.
  • 2021
    • Award for Best Practical Achievements during Studies
  • 2018
    • DPG Baccalaureate Prize for exceptional achievements in physics during high school