Resume

• Certified Senior IT Architect
• Lead Architect for full-lifecycle AI projects from requirements analysis to successful delivery
• Expert for scalable cloud and AI projects
• Managing a team of data scientists, developers and consultants to shape and deliver state-of-the-art AI projects across multiple industries
• Career Coach and mentor for career progression

Architect, Managing Consultant & team lead for Artificial Intelligence focussing on Natural Language Processing, Machine Learning and the entire cognitive IBM Watson portfolio. Member of the IBM Technical Expert Council.

I focus on architectural design and development of end-to-end solutions by applying state-of-the-art methods from artificial intelligence to solve complex business issues and optimise processes, thus bridging the gap between business and technology.


Tasks & Responsibilities:
– Technical project lead for AI Use Cases
– Member of the IBM Technical Expert Council
– Cognitive Factory champion for Germany, harvesting and enhancing an asset culture for quick and consistent deployments
– Communication with IBM Research Lab
– Senior strategic advisor for business adoption of AI and cloud
– 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

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

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:

• Classification of customer utterances and design of AI chatbot system
• Customer workshops and presentations
• Client-facing consultant and architect for Text Mining & Machine Learning
• End-to-end development and deployment in scalable cloud infrastructures
• Solution Design based on Design Thinking workshops

Technical skills:

• Machine Learning, Text & Data Mining, Deep Learning
• Java, Python and NodJS development, Apache UIMA
• IBM Watson Explorer
• Database design & development
• DevOps
• IBM Watson Conversation for cognitive customer Service
• IBM cloud services (Watson Knowledge Studio, Watson Machine Learning etc.)
• Service deployment 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
• Implementation and evaluation of BI and Machine Learning approaches
• 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 and Weka ML

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