Work Experience
Software Engineer · Amazon Web Services (AWS)
AWS Amplify
Active maintainer for several public GitHub repositories of AWS Amplify
Amazon Q
Contributed to the Amazon Q team, working on GenAI features for the AWS console
Machine Learning Engineer · Athenir UG
RAG System Evaluation
Specialized in evaluating Retrieval-Augmented Generation systems using modern frameworks
Software Developer · courtbooking GmbH
Architecture Transformation
Proposed, managed, and implemented the transition from a legacy monolith to a modern SaaS architecture
Court Allocation System
Built a constraint-based court allocation system for automated scheduling
Team Leadership
Helped onboard and mentor new student developers
Education
M.Sc. Computer Science (AI) · Julius‑Maximilians‑Universität Würzburg
Master Thesis: Self-Supervised Learning for Wound Image Classification
Explored self-supervised pretraining methods for medical image classification, implementing and comparing CNNs and Vision Transformers in Python & PyTorch (Grade: 1.0)
Pre-Processing Pipeline for Medical Imaging in Non-Standardized Environments
Colorchecker and ArUco markers to normalize images taken by patients via NumPy & OpenCV
Research Paper on Mobile Wound Image Segmentation
Collaboration originated from seminar paper, implemented using Python and PyTorch
B.Sc. Computer Science · Julius‑Maximilians‑Universität Würzburg
Bachelor Thesis: Automated MRI Segmentation with Attention-Based UNet3+
Combined UNet3+ architecture with attention mechanisms to segment 3D MRI images, implemented in Python