Principal Software Engineer

Healthcare AI Development & Technical Leadership

Progressed through multiple technical roles while leading complex AI projects in healthcare, demonstrating strong technical capabilities and growing leadership responsibilities.

AI & Machine Learning Innovation

Healthcare AI Development

• Development of software for structured reporting in radiology and pathology
• Implementation of AI-optimized data workflows to increase efficiency of medical activities
• Leadership of the KI-Beta project: AI-based analysis of clinical images on prostate datasets
• ImageREPORT: Advanced system for automated analysis of medical images and structured reporting

Research & Development Partnerships

• Responsible for TUM Data Innovation Lab: Cooperation project to build an ontology-based medical graph database
• Collaboration with AWS on automated diagnosis and reporting of Covid-19 patients
• PlanQK project: Platform for quantum computing in artificial intelligence
• Support in technical partner management with Siemens Healthineers and GE Healthcare

Technical Expertise & Implementation

Full-Stack Development & Infrastructure

• Quantum computing, machine learning, data science, and web development
• Programming in TensorFlow, React, TypeScript, JavaScript, WebAssembly, Python
• Advanced data processing with NumPy, SciPy, Pandas, and scikit-learn
• Cloud-native architecture design and implementation

Innovation Impact

• Bridged academic research with practical healthcare applications
• Contributed to medical device software under strict regulatory requirements
• Worked on integrating quantum computing concepts in healthcare AI

This role marked the transition from individual contributor to technical leader, applying deep AI/ML expertise to healthcare challenges.