CV
General Information
Full Name | Jona Ruthardt |
Occupation | Master's Student at University of Amsterdam |
Nationality | German |
Languages | English, German |
Education
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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
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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
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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
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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)
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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
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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
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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
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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
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2024 - Accapted into MSc Honours Programme offered by the ELLIS Unit Amsterdam
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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.
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2021 - Award for Best Practical Achievements during Studies
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2018 - DPG Baccalaureate Prize for exceptional achievements in physics during high school