Matt Poetter
Angestellt, Artificial Intelligence Consultant, Compris Technologies AG
Zürich, Switzerland
Timeline
Professional experience for Matt Poetter
Current 3 years and 10 months, since Mar 2020
Artificial Intelligence Consultant
Compris Technologies AG
Making startups and established companies become more competitive with latest AI techniques, especially intelligent Robotic Process Automation (RPA) harnessing latest deep learning insights for Natural Language Processing (NLP) and Computer Vision (CV) combined with other AI techniques. Purpose: Automation of activities for administrative activities, agile processes, eLearning, competitive and market analysis, etc.
10 years and 7 months, Sep 2009 - Mar 2020
AI Expert
Netflix
- Segmentation of audiences, e.g. for recommendation and for on-site and internet marketing - Improvement and tweaking of recommender algorithms for different audiences. - Internet marketing campaign automation and continuous improvement through DMP-based custom ad targeting (data management platform) - AIops to automate CI/CD pipelines and deployment. - Designing microservices using latest architecture and resilience models, e.g. hexagonal architecture.
Educational background for Matt Poetter
11 months, Sep 2008 - Jul 2009
Master of Computer Applications - MCA Field Of Study
Stanford University
Mainly studies at the Stanford Artificial Intelligence Laboratory, but also NLP, NLProc, Data Science and Computer Vision.
4 years, Aug 2004 - Jul 2008
Computer Science
Stanford University
Mainly studies at the Stanford Artificial Intelligence Laboratory, but also NLP, NLProc, Data Science and Computer Vision.
Languages
German
Intermediate
English
First language