cv
Basics
| Name | Jan-Christoph Klie |
| Label | Applied Scientist |
| hi@mrklie.com | |
| Url | https://mrklie.com |
| Summary | Experienced Machine Learning and Software Engineer with a Ph.D. in Natural Lanugage Processing from the UKP Lab, Darmstadt, Germany. |
Work
-
2025.01 - now Berlin, Germany
Applied Scientist
Amazon
As part of the Amazon Nova team, I train state-of-the-art foundation models to deliver frontier intelligence and industry-leading price performance. This involves reseearch in data aquisition model architectures, training regimes and more.
-
2024.08 - 2024.12 Frankfurt, Germany
GenAI Consultant (Freelance)
Union Investment
Coached a team of data scientists and machine learning engineers on recent trends and best practices in deep learning, natural language processing and data science. Prepared demos, presentations and executive summaries.
-
2023.02 - 2024.07 Heidelberg, Germany
Machine Learning and Software Engineer (Freelance)
Apple
Provided data science, fullstack software and ML engineering services to improve data annotation efficiency and quality, especially annotation quality evaluation.
-
2018.01 - 2023.04 Darmstadt, Germany
Research Programmer & SysAdmin Lead
UKP Lab, TU Darmstadt
This was the position funding my Ph.D studies in natural language processing. Besides doing research, I also lead the System Administration team for our group and was part of the INCEpTION project, which developed a machine learning augmented text annotation platform.
Education
-
2018.01 - 2024.04 Darmstadt, Germany
Ph.D. in Computer Science
TU Darmstadt
Thesis Topic: Improving NLP Annotation Quality and Efficiency, supervised by Prof. Dr. Iryna Gurevych
-
2014.10 - 2017.10 Darmstadt, Germany
M.Sc. in Computer Science
TU Darmstadt
Robotics, reinforcement learning, computer vision, natural language processing and software engineering. Minor in control theory.
-
2011.10 - 2014.09 Mannheim, Germany
Languages
| German | |
| Native speaker |
| English | |
| Fluent |
| Chinese | |
| Intermediate |
| Vietnamese | |
| Beginner |