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, scikit-learn, and developing 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, MySQL, Oracle, 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 IT deployments at university scale.
DevOps & Cloud Infrastructure
CI/CD pipeline design with GitHub Actions and GitLab CI/CD. Infrastructure as Code with Terraform. Container orchestration with Kubernetes and Docker on AWS, Azure, and on-premise.
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 co-developing TUM Trust Center (500,000+ documents). Strategic partnerships with Microsoft, AWS, and LRZ. Change management and sustainable IT transformation.
Professional Experience
Leading 25+ engineers across cloud infrastructure, platform development, and AI strategy. Owning TUM's entire Azure infrastructure, defining Cloud First strategy, and driving ISO 27001 / ISMS certification. Full P&L responsibility including budgeting, recruiting, and team organization.
Spearheading the SAP S/4HANA transformation (~100 participants). Co-developed TUM Trust Center with the Chair of Network Architectures and Services (500,000+ sealed documents). Developed TUM's AI strategy with the CIO. Shipped multiple RAG-based AI systems and introduced AI-assisted development (Claude Code) across engineering. Infrastructure as Code with Terraform, CI/CD pipelines, and modern full-stack development (Python/FastAPI, React, Oracle).
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.
Professional and disciplinary management of 35 FTEs. Defined technical strategy, owned roadmap and OKR process, managed budgeting and recruiting. Overall responsibility for development projects and data architecture.
Drove migration from monolith to microservices (Java/TypeScript). Agile transformation of development processes. ISO 13485-certified healthcare software development. Cloud infrastructure (Docker, Kubernetes on AWS and on-premise). Technical partner management with Siemens Healthineers and GE Healthcare.
Developed software for structured reporting in radiology and pathology. Led the AI-Beta project: AI-based analysis of clinical images. Built ImageREPORT system for automated medical image analysis and structured reporting.
Responsible for TUM Data Innovation Lab cooperation (ontology-based medical graph database). Collaborated with AWS on automated Covid-19 diagnosis and reporting. Programming in TensorFlow, React, TypeScript, Python, WebAssembly.
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.
Guided software developers on data processing. Containerization with Docker for consistent deployment.
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.