Curriculum Vitae
PDFProfessional Experience
Senior Manager, Customer Solutions
2025 - PresentC3 AI, Munich
Primary technical advisor to Fortune 500 clients across the full customer journey, from discovery and evaluation framework design through to production deployment. $16M+ total contract value and 95%+ customer satisfaction across nine clients, with a $45M+ pipeline driven through 60+ pre-sales engagements.
Manager, Customer Solutions
2022 - 2025C3 AI, Munich
Architected production GenAI and Enterprise AI Systems for large enterprise clients. This includes for example a maintenance agent for Holcim combining LLMs, NLP, OCR and RAG that cut mean time to resolution by 40% globally, an AI reliability solution for Johnson Controls that reduced equipment downtime by 30%, and a demand forecasting solution for GSK that improved accuracy by 12 percentage points.
Program Manager, Esports Racing
2019 - 2022Porsche Motorsport, Stuttgart
Founded and led Porsche's Esports Racing programme as a zero-to-one initiative, scaling it across 25+ markets and growing organic reach by 16x in under 18 months. Led a cross-functional team of 50+ to victory at the 2020 24 Hours of Le Mans Virtual.
Software Engineer
2018 - 2019Porsche Motorsport, Stuttgart
Designed and shipped a cross-platform mobile application (Ionic, Node.js, Google Maps API) to 35,000+ employees, modernising factory commuting logistics with projected annual savings of EUR 32M. Built an SAP-integrated mobile logistics system for just-in-time operations.
Education
M.Sc. Business Informatics
2019 - 2020University of Applied Sciences and Arts Dortmund
Graduated with honours on the application of convolutional neural networks to travel planning using multivariate parameters (Keras, TensorFlow, Python). Awarded a BMBF research grant (01S17075) for improving detection of faulty APS data in SCANIA trucks, achieving the second-highest Kaggle competition score with a novel Isolation Forest approach.
Thesis: Machine Learning-based prediction of travel destinations based on multivariate parameters
B.Sc. Business Informatics
2015 - 2019University of Applied Sciences and Arts Dortmund
Creating the cornerstone of team logistics, allowing for a new kind of collaboration, increasing the team efficiency by ensuring optimal just-in-time logistics. Noticable projects and publications on balance theory, blockchain technology, data anonymization against and collaborative software development
Thesis: Conception of an SAP®-integrated mobile logistics solution for global use
Competencies
| Enterprise AI Architecture | Production AI for Fortune 500 operators, owned from discovery through architecture and evaluation to deployment. GenAI agents, RAG, time series analysis, anomaly detection and demand forecasting |
| Commercial Ownership | Building the technical and commercial case through enterprise pre-sales cycles, then staying accountable for the number before signature and the outcome long after it |
| Leadership | Founding programmes rather than inheriting them: hiring the team, setting the operating rhythm, and scaling it across markets and time zones. Range: The same person in the boardroom and in the code review, translating between executive sponsors, procurement, data owners and engineers who ship. Leading under pressure: Live operations where the result is public and the clock does not stop, from twenty-four hour race weekends to production incidents on systems a business runs on. People: Growing engineers, data scientists, architects and business consultants into owners, and being the one accountable when a call has to be made without complete information |
| Engineering | AI and ML: LLM integration and orchestration, RAG, prompt and context engineering, NLP, OCR, convolutional neural networks, recommender systems, anomaly and novelty detection, predictive maintenance, demand forecasting, TensorFlow, Keras, scikit-learn. Data: Distributed storage, edge storage, vector databases, feature and retrieval pipelines, time-series and sensor telemetry, SAP integration, KNIME, ETL frameworks. Practice: Evaluation harnesses gating release on accuracy and latency, requirements engineering to IEEE 830, solution and reference architecture, distributed systems, cross-platform delivery |
| Domain Expertise | Industrial manufacturing: Continuous and process operations across pharmaceuticals, salt and silica, and cement. Building technologies: Covering HVAC, building automation and equipment reliability in the Johnson Controls estate. Supply chain: Demand forecasting and supply chain optimisation at portfolio scale. Automotive and embedded systems: Including functional safety and cybersecurity, with published work on ISO/SAE 21434 and AUTOSAR security concepts. Enterprise software: C3 AI Platform and Applications, SAP-integrated logistics, data protection and GDPR-compliant processing |