Pieter M.

Machine Learning Engineer at Orbisk

Pieter M. has a diverse work experience spanning multiple industries and roles. Pieter started their career as a Student Member at OLC Artificial Intelligence RU Nijmegen in 2010 and then became a Board Member at VGSN-TQ in 2012. In the same year, they also worked as a Bouncy Castle Delivery personnel at Look-O-Look.

In 2014, Pieter had an internship at Thales R&T / D-CIS Lab where they developed an algorithm using Python and learned about Kalman filters and subspace clustering. Pieter also worked as a Student Assistant at Radboud University in 2014 and implemented signal analysis tools in Java for the AI department.

During 2015, Pieter worked as a Junior Researcher at Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, where they primarily focused on implementing and improving an algorithm for a zero-training online BCI and designing an experimental test for it.

In 2016, they joined Xomnia B.V. as a Trainee Data Scientist. After that, Pieter moved on to the Politie Landelijke Eenheid (Netherlands Police Agency) in 2017, where they worked as a Machine Learning Engineer until 2020. Their primary responsibilities included utilizing machine learning techniques in various projects.

Most recently, Pieter joined Zero Food Waste in 2020 as a Machine Learning Engineer. Unfortunately, no specific end dates are provided for their roles at Zero Food Waste and Politie Landelijke Eenheid.

Pieter M. completed their Bachelor's Degree in Artificial Intelligence from Radboud University between 2009 and 2013. Subsequently, they pursued a Master of Science (MS) degree in Artificial Intelligence from the same university, which they accomplished from 2013 to 2015.

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Timeline

  • Machine Learning Engineer

    February, 2020 - present