CV and educationCV and education

My life in numbers

Professional experience

01.01.2023 - today2023 - today
Chief AI & Information Officer

Recycletek – Evtek Inc.

01.05.2019 - 31.12.20222019 - 2022
Datascience Systems Engineer

Innovation and strategic Analysis at SCHUFA Holding AG

01.08.2013 - 31.04.20192013 - 2019
Research Fellow, PhD Candidate

University of Frankfurt / Frankfurt Institute for Advanced Studies, Systems Engineering for Computer Vision

The focus of our research is on biologically inspired visual systems with emphasis on continuous learning and adaption.

20.03.20152015
1st Place VW Hackathon (codeFEST8) at CeBit Hannover

Conception and backend-development with the team Road-Genius

01.07.2012 - 01.07.20132012 - 2013
Student helper

Frankfurt Institute for Advanced Studies

Design and implementation of a modular, distributed high-performance framework for complex computer-vision- and machine-learning-applications and -prototyping with agile methods (SCRUM, continuous integration and testing).

01.09.2006 - 01.07.20122006 - 2012
Robot Soccer Coach

University of Frankfurt, Joint Robotics Lab, Bembelbots

Founder and member of the RoboCup team Bembelbots.

01.10.2008 - 01.04.20122008 - 2012
Student helper

University of Frankfurt, Visual sensorics and information processing

Design, development and implementation of a robot-platform based on the SLAM-paradigm. Development of a high-speed scientific recording framework to capture synchronized image streams of a set of Pt.Grey cameras (e.g. Ladybug2) and stereo-vision setups.

Development and mentoring of the internships „Robotics and visual sensorics“ and „Mixed Reality Robot Games: Real Robots in Virtual Games“

01.01.2006 - 01.01.20092006 - 2009
Working student

Fraport AG, Airport Frankfurt

Baggage and freight handling at the division „Ground services“, customer-assistance and -guidance of international passengers in the „Short connex“ service.

01.06. - 31.08.2004 & 20052004 & 2005
Working student

BASF, Ludwigshafen

Diverse fill- and baggaging tasks and forklift pallet transportations.

Education

02.20242024
„Google UX Design“ Specialization @Google
09.20222022
„Innovation: From Creativity to Entrepreneurship“ Specialization @University of Illinois at Urbana-Champaign
03.20222022
„Strategic Leadership and Management“ Specialization @University of Illinois at Urbana-Champaign
09.20212021
„Google Project Management“ Specialization @Google
06.20202021
08.20202020
„AWS Fundamentals: Building Serverless Applications“ Certificate @Amazon Web Services
08.20202020
„Fundamentals of Kubernetes Deployment“ Certificate @LearnQuest
08.20202020
„Google Cloud Platform Fundamentals: Core Infrastructure“ Certificate @Google Cloud
04.20192013-2019
PhD in Computer Science/AI (Dr. rer. nat.)

Johann-Wolfgang-Goethe University, Frankfurt/Main

11.20182018
Finished Coursera course „Probabilistic Graphical Models“ by Stanford University, grade achieved: 100%
10.20182018
Finished Coursera course „Sequence Models“ by deeplearning.ai. Grade achieved: 100%
23.10.20172017
Finished Coursera Course „Robotics: Estimation and Learning“ by the University of Pennsylvania

Grade achieved: 100%

15.10.20162016
Finished Coursera Course „Machine Learning: Clustering and retrieval“ by the University of Washington

Grade achieved: 100%

01.09.20162016
Finished Coursera Course „Practical predictive analytics: Models and methods“ by the University of Washington

Grade achieved: 100%

2003 - 2013
Computer Science, student

Johann-Wolfgang-Goethe University, Frankfurt/Main

Main study period:

  • Advanced technical/practical computer science
  • Databases
  • Robotics
  • Visual sensorics and pattern recognition
  • Analysis of internet- and graph algorithms
  • Minor subject: Political science

Basic study period:

  • Technical computer science
  • Theoretical computer science
  • Practical computer science
  • Mathematics (discrete, numerical, stochastic math and linear algebra)
  • Minor subject: Political science

Degree: Diploma, grade: „Very good“

1996 - 2003
Friedrich Magnus Schwerd Gymnasium, Speyer

Main areas of study:

  • English
  • Biology
  • German

Degree: University entrance diploma