CV

Resume
AI Architect & Managing Data Science Consultant - Machine Learning & Text Mining

I am a Computational Linguist currently working for IBM as an IT Architect Artitificial Intelligence specialising on the design and architecture of end-to-end applications featuring Natural Language Processing and Machine Learning (i.e., cognitive computing).

I enjoy leveraging and tailoring architectures based on cutting-edge methods from Computational Linguistics, machine learning and statistical modeling to solve complex business use cases across multiple industries and research areas.
I’m passionate about mentoring, teaching and advising teams to transfer knowledge about best practises for cognitive computing.

Employment
IBM Deutschland GmbH
since January 2018
AI Architect & Managing Data Science Consultant - Machine Learning & Text Mining

Architect for Artificial Intelligence focussing on Natural Language Processing, Machine Learning and the entire cognitive IBM Watson portfolio.

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 Lead & Scrum Master for Cognitive solutions
  • Architect and senior strategic advisor for Machine Learning and NLP
  • Client-facing consultant and architect for Text Mining & Machine Learning, AI
  • Design and implementation of AI chatbots, e.g., for customer service
  • End-to-end development and deployment in scalable cloud infrastructures
  • Automatic classification and processing of customer communication using Machine Learning
  • Cognitive Factory champion for Germany, harvesting and enhancing an asset culture for quick and consistent deployments
  • Communication with IBM Research Lab to bring advances fo
  • Solution Design based on Design Thinking workshops
  • Customer workshops and presentations

Technical skills:

  • Machine Learning, Text & Data Mining, Deep Learning
  • Java, Python and NodJS development, Apache UIMA
  • Deep Learning development with TensorFlow 
  • AI chatbots (Watson Assistant)
  • IBM Watson Explorer
  • Database design & development (NoSQL, RDBMS)
  • DevOps
  • IBM cloud services (Watson Knowledge Studio, Watson Machine Learning etc.)
  • Service deployment using cloud infrastructure (Kubernetes, Docker) and DevOps toolchains
IBM Deutschland GmbH
Feb. 2016 - Mar. 2018
Data Scientist & Senior Cognitive Computing Consultant
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
Deutsche Bahn
Sep. 2016 - Dec. 2016
Data Scientist (focusing on Text Mining)
Data Scientist for Deutsche Bahn (DB Fernverkehr AG) focussing 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
Institute of Computer Science, Heidelberg University
July 2013 - January 2016
Researcher AI

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 and Lecturer
October 2012 - July 2013
Institute for Computational Linguistics, Heidelberg University

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
February 2011 - September 2012
Institute for Computational Linguistics, Heidelberg University

Student research assistant at the project Ritualdynamik, working on Coreference Resolution and Discourse Processing in a Digital Humanities context.

Student research assistant
August 2010 - February 2011
NLP group - HITS gGmbH Heidelberg

NLP group - HITS gGmbH Heidelberg. Student research assistant, working on machine learning for summarization, supervised by Prof. Dr. Michael Strube and Darla Shockley.

Student research assistant
March 2009 - June 2012
Department for German philology, Heidelberg University

Programmer at the project Heidelberger Korpus.

Teaching Assistant
October 2009 - July 2010
Institute for Computational Linguistics, Heidelberg University

Teaching assistant for programming lectures for Python and Java, supervised by Matthias Hartung and Prof. Dr. Simone Paolo Ponzetto.

Education
Master of Arts
July 2013
Computational Linguistics (research track)

Title of my MA thesis: A Joint Inference Architecture for Global Coreference Clustering with Anaphoricity. Supervisor: Prof. Dr. Anette Frank

M.A. Computational Linguistics
September 2009 - July 2013
Heidelberg University
Bachelor of Arts (with distinction)
July 2011
Major: Computational Linguistics, Minor: English Linguistics

Title of my BA thesis: Entity-based Coreference Resolution combined with Discourse-New Detection. [pdf] Supervisor: Prof. Dr. Anette Frank

B.A. Computational Linguistics and English Linguistics
October 2008 - July 2011
Heidelberg University
Interests
Natural Language Processing
Multiple years of project experience with current NLP techniques.
Machine Learning
Machine Learning expert, profound theoretical knowledge & practical project experience.
Consulting
Business and technology consulting
Architecture
Architectural thinking: designing system and application architectures.
Information Retrieval