Azzeddine CHENINE

Research Engineer, Applied Reinforcement Learning at InstaDeep

Azzeddine CHENINE's work experience includes roles at various companies. In 2018, they worked as a Voice Assistant Intern at CERIST, where they contributed to the development of a virtual assistant that controlled home appliances using voice commands. In 2019, they were a Deep Reinforcement Learning Research Intern at Ecole nationale Superieure d'Informatique (ESI), where they implemented algorithms for fault-tolerant tasks re-mapping in heterogeneous networks on chips. In 2020, they joined InstaDeep Ltd as a Research Engineer in Applied RL, focusing on deep learning and reinforcement learning for PCB design. In 2021, they became a Google Developer Expert in Machine Learning, training individuals in machine learning and reinforcement learning through talks, workshops, and mentoring events.

Azzeddine CHENINE earned a Master of Engineering degree in Mathematics and Computer Science from Ecole nationale Superieure d'Informatique (ESI) from 2015 to 2020. In addition, they obtained several certifications including a Computer Vision Nanodegree from Udacity in February 2022, a Deep Reinforcement Learning Nanodegree from Udacity in February 2021, a TensorFlow: Advanced Techniques Specialization from Coursera in February 2021, and a DeepLearning.AI TensorFlow Developer Specialization from Coursera in April 2020.

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Timeline

  • Research Engineer, Applied Reinforcement Learning

    July, 2020 - present