cv
Basics
Name | Elora Schoerverth |
Label | Applied AI Engineer |
Summary | Specializing in machine learning and document processing. Also passionate about medical ML and space. |
Work
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2023.10 - Present Applied AI Engineer
Workist
- Collaborated on transitioning to a new token classification model, improving F1 score from 0.86 to 0.938 through fine-tuning and evaluation.
- Experimented with models for object detection and document/email classification to optimize AI capabilities.
- Enhanced machine learning monitoring pipelines to ensure reliability and performance.
- Contributed to backend development, including bug fixes, improved post-processing, and customer-specific adjustments.
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2022.01 - 2023.03 Student Research Assistant
Fraunhofer HHI
Worked on the SyReal project focusing on generative models for synthetic histopathological imaging.
- Trained and evaluated diffusion models; developed interpretability methods for generative processes.
- Contributed to XAI interface development for diffusion models in healthcare applications.
- Leveraged tools like PyTorch, AWS SageMaker, and Python for experimentation and deployment.
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2020.10 - 2021.12 Student Software Engineer
Fraunhofer HHI
Developed an assessment platform for evaluating machine learning models in healthcare.
- Led the development of an ML model assessment platform integrated with ITU/WHO AI4H guidelines.
- Improved evaluation efficiency and platform reliability.
- Utilized technologies including Python, Docker, AWS, Django, and AngularJS.
Education
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2020.10 - 2023.03 Berlin, Germany
Master's
Technical University Berlin
Computer Science
- Machine Intelligence
- Cloud Computing
- Advanced Algorithmics
- Medical Image Processing
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2017.10 - 2020.09 Berlin, Germany
Bachelor's
Technical University Berlin
Computer Science & Media
- Algorithms & Data Structures
- Calculus and Linear Algebra
- Complexity Theory
- Computer Vision
- Software Engineering
Skills
Programming Languages | |
Python | |
JavaScript | |
Bash |
Data Science & Machine Learning | |
PyTorch | |
Transformers | |
NumPy | |
Pandas | |
Scikit-learn |
Model Deployment & DevOps | |
Azure | |
AWS | |
Docker | |
Kubernetes | |
Git | |
CI/CD |
Web Development | |
Django | |
React | |
Angular |
Publications
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2022.12.01 Machine Learning for Health (ML4H) 2022
PMLR
Contributed to proceedings on algorithm auditing and quality control in healthcare.
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2021.11.01 Machine Learning for Health: Algorithm Auditing & Quality Control
Journal of Medical Systems
Focused on quality control methodologies for ML systems in health.