AI / ML
Neural nets, deep learning, production ML
CEO & Managing Partner @ control-f GmbH. Machine learning engineer with 10+ years of data science and AI shipped at Porsche, Daimler, and Mercedes-Benz.

Four vectors. Numeric confidence from self-assessment against shipped production systems — not a LinkedIn endorsement list.
Neural nets, deep learning, production ML
Pipelines, warehouses, distributed compute
Full-stack systems, APIs, TypeScript first
Product, strategy, team building
Building an AI product studio: cutting-edge AI, data science, and proprietary systems for enterprise clients worldwide.
Tailor-made AI solutions for organizations. Seamless integration of ML into existing systems to optimize productivity and decision-making.
Vehicle data pipelines on the Porsche Data Platform (Cloudera/AWS + SAP DWC). Operationalized data views, quality-driven analytics, stakeholder alignment.
Led R&D on the next-generation Mercedes-Benz Infotainment System. Dynamic content platform integration and containerization for performance and scale.
Microservice + ML architectures across cloud and on-prem. Project Owner for a 1TB+ procurement savings prediction pipeline for Daimler's procurement org.
Coordinated AI-enabled software projects. NLP models for text analysis and classification; managed Azure infra for scalable hosting.
Freelance ML software development. Preprocessing and cleansing of large datasets, stakeholder-facing visualizations.
Facial-recognition room guidance system over multiple camera streams. Pathing algorithm and OAuth2-based LinkedIn crawler for embeddings.
Thesis: "A Deep-Learning Approach on Automotive Maneuver Detection." CAN-Bus preprocessing pipeline, classification across architectures, and VAE-based latent visualization. Earlier: live Jenkins analytics dashboard (d3.js + Flask).
Anomaly detection monitoring tool (SVM pre-classifier + Isolation Forest). Python-based IT process automation. Cloudera Hadoop test-build on-prem.
Dual-study program. Automated server installation, custom PostgreSQL databases, BI reporting, and change-management automation.
Daniel has a deep understanding of software architectures and knows how to build them from scratch. Great knowledge of cutting-edge technologies — and knows how and when to use them.
Constantly proves his great expertise in machine learning and cloud architecture. A proactive, solution-oriented colleague driven by creativity and curiosity for current trends.
A very good software developer with a broad knowledge of big data architectures. Always up to date — and great at finding creative solutions to the various obstacles along the way.
A very broad technical background combined with remarkable passion for data science. He pushed the products forward with an eye for detail and great curiosity for the latest trends.
A very inspiring personality, full of ideas and with a broad technical background. Daniel is able to deliver and prototype software products extremely quickly — he has internalized the agile mindset.
A creative mindset and a very special passion for the future of artificial intelligence. He is not only talking — he is doing things.
Extremely reliable and open-minded. Deep technical skills and practical experience in managing complex projects. Would I work with Daniel again? Yes, of course.