Basic

Matt Poetter

Employee, Artificial Intelligence Consultant, Compris Technologies AG

Zürich, Switzerland

Skills

Timeline

Professional experience for Matt Poetter

  • Current , 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

Wants

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