Dr. Kai Miguel Matzutt

Angestellt, Head of AI, knowhere GmbH

Hamburg, Deutschland

Fähigkeiten und Kenntnisse

Natural language processing
Solution Architecture
Mathematical Modelling (mainly stochastics and sto
Java
Working experience in a customer facing internatio
Webdevelopment
Softwaredevelopment
Agile Software Development
empathy
logical thinking
Data Science
Machine learning
Natural Language Processing (NLP)
Python
Project management
Software Architecture

Werdegang

Berufserfahrung von Kai Miguel Matzutt

  • Bis heute 3 Jahre und 2 Monate, seit Apr. 2021

    Head of AI

    knowhere GmbH
  • 6 Jahre und 11 Monate, Mai 2014 - März 2021

    Senior Software Developer / Data Scientist

    Tallence AG
  • 2 Jahre und 7 Monate, Sep. 2011 - März 2014

    Consultant Resolution Engineering

    Recommind

    Consulting in resolution engineering: * Troubleshooting of time critical issues and analysis of implementations * Coordination of analysis and solutions with customer, PM and dev. * Internal trainings * Dev support and consultation of customers/integration partners, e.g. when using Recommind’s software on the API level. * Temporary implementation of new requirements using Java or JRuby. * Development of analytic tools or workarounds using SQL-queries, Java, XML, XSLT, JavaScript, JRuby or similar.

  • 4 Jahre und 7 Monate, Feb. 2007 - Aug. 2011

    Wissenschaftlicher Mitarbeiter (Scientific Assistant)

    Bielefeld University

    * Mathematical research in the area of Mathematical Diffraction Theory and Point Processes. * Organization and administration of the Research Center for Mathematical Modelling * Assistance in teaching (e.g. providing exercises corresponding to lectures, turial work)

Ausbildung von Kai Miguel Matzutt

  • Mathematics

    Bielefeld University

    Probability Theory and Mathematical Physics

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Muttersprache

  • Französisch

    Grundlagen

Interessen

Natural Sciences
Technology
Mathematics
Budo Sports
Cryptology
Machine Learning
Deep Learning
(Deep) Neural Networks
Natural Language Processing (NLP)

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