Radouane Kaddari

Senior Machine Learning Engineer at Peter Park

Radouane Kaddari's work experience begins in 2016 when they worked as a Freelance Programmer for Upwork, a role they held until April 2017. In 2018, they interned as a Data Scientist at ROHM Semiconductor Europe from April to August. Later that year, they joined Valossa as an AI Developer from November 2018 to June 2019. From October 2019 to September 2021, they worked as a Computer Vision/Deep Learning Engineer at Evercam - Construction Cameras, and then as a Senior Computer Vision/Deep Learning Engineer from September 2021 to April 2022. Currently, since March 2022, they are working as a Machine Learning Engineer at Peter Park.

Radouane Kaddari completed their Master's degree in Computer Science from the University of Oulu, from 2017 to 2019. Prior to that, they obtained another Master's degree in Communication Engineering from the institute of Electrical Engineering and Electronics, from 2015 to 2017.

In addition to their formal education, Radouane has also obtained multiple certifications. Radouane completed the "DeepLearning.AI TensorFlow Developer Specialization," "TensorFlow: Advanced Techniques Specialization," "Generative Adversarial Networks (GANs) Specialization," "Deep Learning Specialization," "Convolutional Neural Networks in TensorFlow," "Structuring Machine Learning Projects," "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning," "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Google Cloud Platform Big Data and Machine Learning Fundamentals" certifications from Coursera. Radouane also completed the "Machine Learning" course offered by Stanford University on Coursera.

Location

Sétif, Algeria

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Peter Park

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We re-define the status quo of off-street parking. Our software platform, enabled by computer vision technology, empowers our customers to centrally manage their car parks via an individual dashboard. This allows to seamlessly integrate new digital technologies into parking ecosystem, e.g. smart kiosks, parking apps and dynamic pricing. Thiscreates maximum efficiency and opens new revenue streams, ultimately driving profitability of our customers. The parker benefits from an enhanced experience, characterized by barrier-free parking, maximum convenience and cost-transparency. We are a young & motivated team with a central office at WERK1 in Munich.


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Headquarters

Munich, Germany

Employees

51-200

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