Core Expertise
Leadership & Management
Leading cross-functional teams of up to 35 people, driving organizational transformation, and aligning technology strategy with business goals. OKR implementation, agile methodologies (Scrum), budgeting, recruiting, and technical mentoring.
Software Architecture
Full-stack development with modern frameworks and languages. Expertise in microservices architecture, API design, cloud-native applications, and building scalable distributed systems. Proficient in Python, JavaScript/TypeScript, Java, Rust, and C++.
AI & Machine Learning
Building AI infrastructure, implementing ML systems, and deploying models to production. Experience with TensorFlow, PyTorch, scikit-learn, and developing GDPR-compliant data-driven solutions for healthcare and enterprise applications.
Quantum Computing & Research
Quantum-enhanced optimization algorithms using QUBO and genetic algorithms. PlanQK platform development. Published researcher in computational geometry with papers in J. Symb. Comput. and ICMS. TUM PhD in mathematics.
Data Engineering
Building scalable data platforms, ETL/ELT pipelines, and data warehouses. PostgreSQL, MongoDB, stream processing, and optimizing data workflows for analytics and AI. Experience architecting end-to-end ML data systems on AWS.
Enterprise Systems
SAP S/4HANA transformation leadership with 100+ participants. Deep understanding of ERP systems, enterprise integration patterns, and managing large-scale deployments. Experience with SuccessFactors implementation for HR management.
DevOps & Cloud Infrastructure
CI/CD pipeline design with GitHub Actions. Infrastructure as Code with cloud-native tools. Container orchestration with Kubernetes and Docker on AWS, Azure, and on-premise. Production deployments maintaining 99.9% uptime for healthcare systems.
Research & Open Source
Lead developer of CindyJS (2013-present), open-source mathematical visualization framework. Published researcher with papers in J. Symb. Comput. and ICMS. Guest lecturer teaching ML and Big Data. TUM PhD in mathematics with focus on computational geometry.
Digital Transformation
Leading large-scale transformation initiatives including SAP S/4HANA migration with 100+ participants and TUM Trust Center deployment (500,000+ documents). Strategic partnerships with Microsoft, AWS, and LRZ. Change management and sustainable IT transformation.
Professional Experience
Leading IT management with professional and disciplinary management of 25 IT professionals. Spearheading the SAP S/4HANA transformation project with ~100 participants.
Built TUM Trust Center: sovereign platform for digital seals and signatures processing 500,000+ documents, eliminating paper-based workflows and reducing environmental impact. Developed TUM's AI strategy in collaboration with the CIO. Implemented agile methodologies (Scrum) and OKRs.
Contributed to Germany's Platform and Ecosystem for Quantum-assisted AI project (PlanQK). Developed quantum-enhanced optimization algorithms for automated shift planning using QUBO and genetic algorithms.
Served as Scrum Master while implementing DevOps on AWS (Lambda, S3, Cognito). Bridged quantum computing research with practical business applications in Java and Python, applying mathematical expertise to emerging technology.
Invited as guest lecturer for Healthcare Data Analytics, teaching ML fundamentals, neural networks, CNNs, RNNs, Big Data concepts (MapReduce, Data Warehouses), and ethical AI in healthcare.
Honored with W2 professorship offer for Data Science in Healthcare. After careful consideration, chose to continue combining industry leadership with selective academic engagement through teaching and research collaborations.
Architected and delivered end-to-end ML system with production-grade infrastructure. Built GDPR-compliant data processing workflows using scikit-learn, TensorFlow, pandas, and Dash.
Implemented AWS infrastructure (Lambda, Athena, EC2, SageMaker, ECS, EKS) with PostgreSQL replicas, CI/CD via GitHub Actions, and comprehensive monitoring. Demonstrated ability to own complete ML solutions independently.
Led engineering organization for healthcare analytics platform serving multiple countries. Defined technical strategy, scaled infrastructure, and managed engineering teams.
Established data governance frameworks and engineering best practices. Improved deployment frequency by 300% while maintaining 99.9% uptime for critical healthcare systems.
Architected core platform features for healthcare data analytics. Implemented AI-optimized data workflows and built scalable microservices architecture from the ground up.
Established engineering standards, code review processes, and automated testing frameworks that became organizational best practices. Transitioned from individual contributor to technical leader.
Contributed to Steering Lab (Data Science Department) at leading management consulting firm. Developed data analytics applications for combinatorial optimization using Flask, pandas, NumPy, and Angular.
Provided technical leadership and mentoring to software developers. Enabled consultants to process large datasets more efficiently, reducing time-to-insight for client engagements.
Leading development of CindyJS, an open-source framework for interactive mathematical visualization on modern devices. Published at ICMS (International Congress on Mathematical Software).
Demonstrates long-term commitment to bridging academic research with practical open-source software engineering. Continues parallel to industry roles, showing sustained technical leadership.
Conducted research in applied mathematics (SFB Transregio 109: Discretization in Geometry and Dynamics), publishing peer-reviewed papers in J. Symb. Comput. and presenting at international conferences.
Developed mathematical models and algorithms bridging pure research with applications. Established foundation for transition from theoretical mathematics to software engineering and data science.
Short-term consulting engagement applying mathematical expertise to biomedical data analysis challenges.
Demonstrates versatility in quickly adapting mathematical and software engineering skills to new domains.