Architectural thinking: designing system and application architectures. Focusing on cloud architectures, end-to-end integration and artificial intelligence to combine innovation with sound architectural design.
Coaching and developing teams of people to unleash their potential
Multiple years of project experience with current NLP techniques.
Business and technology consulting
Machine Learning expert, profound theoretical knowledge & practical project experience.
Bridging AI Innovation with Business Strategy for Real-World Impact
With a background in AI (Computational Linguistics) and business management, I’ve always been driven by one mission: turning cutting-edge technology into strategic, real-world business impact.
As Principal Expert for AI, I lead the development and execution of AI initiatives that drive business value while ensuring regulatory compliance and ethical AI use. My focus is on integrating AI across business functions to enhance efficiency, optimize operations, and maintain a competitive edge.
I design and implement AI roadmaps aligned with business objectives, ensuring AI solutions are scalable, compliant, and impactful. By standardizing MLOps practices and AI reference architectures, I improve model maintainability and accelerate AI deployment. I drive make-or-buy decisions, enabling efficient AI scaling while optimizing costs and strategic investments.
I lead cross-functional collaboration, working with executives, data science, legal, and compliance teams to ensure AI adoption aligns with corporate goals and regulatory requirements. My governance frameworks mitigate risk and ensure AI applications uphold data privacy, security, and transparency standards.
Beyond strategy, I focus on talent development and AI culture building, mentoring teams and fostering AI literacy across the organization. By aligning AI teams under a unified vision, I enhance collaboration, innovation, and execution speed.
Key Skills:
✅ AI Strategy & Business Transformation
✅ AI Governance & Regulatory Compliance
✅ MLOps & AI Architecture Standardization
✅ Cross-Functional Leadership & AI Talent Development
✅ Responsible AI & Ethical AI Frameworks
AI Leadership & Strategy: Led IBM’s ‚Cloud & AI‘ department, driving strategy, managing budgets, and mentoring technical teams (data scientists, developers, consultants). Directed full-lifecycle AI projects as Lead Architect and Managing Consultant, specializing in NLP, ML, and IBM Watson. Provided senior-level strategic advisory to businesses on AI and cloud adoption. Spearheaded the German ‚Cognitive Factory‘ initiative to enhance deployment efficiency and consistency. Influenced technical direction as a member of the IBM Technical Expert Council. (TOGAF Certified).
Senior Cognitive Computing Consultant for IBM focussing on Natural Language Processing, Machine Learning and the entire IBM Watson portfolio. Developing and applying state-of-the-art methods from natural language processing to solve complex business issues and optimise processes.
Tasks & Responsibilities:
- Client-facing consultant and architect for Text Mining & Machine Learning, AI
- Automatic classification and processing of customer communication using Machine Learning and design of chatbot system powered by artificial intelligence
- Design Thinking workshops
- Bringing together client stakeholders with development team
Technical skills:
- Machine Learning, Text & Data Mining, Deep Learning
- Java, Python and NodJS development, Apache UIMA
- Deep Learning development with TensorFlow
- IBM Watson Services (Watson Explorer, Discovery, Knowledge Studio, Watson Conversation)
- Database design & development (NoSQL, RDBMS)
- DevOps, CI/CD
- Platform as a service (PaaS) using cloud infrastructure (Kubernetes, Docker) and DevOps toolchains
Data Scientist for Deutsche Bahn (DB Fernverkehr AG) focusing on Text Mining and Machine Learning to reveal insights from customer feedback.
Tasks & Responsibilities:
- Leading a team of external developers (Scrum) to improve Text Mining processes
- Analysis and combination of heterogenous data sources to derive KPIs
- Collaboration with decision makers regarding the instantiation of a company-wide feedback system
- Consultant for „analysis as a service“ — coordinating data mining requirements between customers and developers
- Consultant for suitable Machine Learning and Data Mining approaches
Technical skills:
- Java and Python development
- Database development and analysis: MS-SQL & NoSQL databases
- Statistical modeling: R, python, Weka ML
- Topic Modeling and MS-SSIS
Researcher at the Database Systems Research group, led by Prof. Dr. Michael Gertz. My work focused on Natural Language Processing in general and Digital Humanities, Information Extraction and Social Network Analysis in particular. Primary research topic: revealing and analysing the evolution of news networks.
Research assistant (Wissenschaftlicher Mitarbeiter) at the Computational Linguistics research group, supervised by Prof. Dr. Anette Frank. Lecturer of the compulsory lecture „Advanced, object-oriented programming with Java“.
Student research assistant at the project Ritualdynamik, working on Coreference Resolution and Discourse Processing in a Digital Humanities context.
NLP group – HITS gGmbH Heidelberg. Student research assistant, working on machine learning for summarization, supervised by Prof. Dr. Michael Strube and Darla Shockley.
Title of my MA thesis: A Joint Inference Architecture for Global Coreference Clustering with Anaphoricity. Supervisor: Prof. Dr. Anette Frank
Title of my BA thesis: Entity-based Coreference Resolution combined with Discourse-New Detection. [pdf] Supervisor: Prof. Dr. Anette Frank