Mohamed Ali Mimouni

Research Engineer at InstaDeep

Mohamed Ali Mimouni has a diverse work experience in various roles and industries. In 2017, they worked as a Python Developer at Upwork. The following year, they had an internship as a Software Developer at THE NATIONAL OBSERVATORY OF NEW AND EMERGING DISEASES. In 2019, Mohamed worked as a Data Scientist at MooMe, where they developed an advanced labelling app and applied deep learning techniques for cow behavior recognition. In 2020, they worked at Global Engineering Center as an Artificial Intelligence Trainer and then moved on to Hablo as a Data Scientist. In 2021, Mohamed joined Evercam - Construction Cameras as a Computer Vision Engineer, where they developed a customized background subtraction algorithm and worked on an object detection problem. Currently, in 2022, they hold the position of Research Engineer at InstaDeep Ltd.

Mohamed Ali Mimouni's education history is as follows:

Mohamed Ali earned a Bachelor's degree in Computer Science from the Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis from 2016 to 2019. Following that, they pursued a Research Master in Intelligent Systems & IoT in Computer Science at the same institution from 2019 to 2022.

In addition to their formal education, Mohamed Ali Mimouni has obtained various certifications. In May 2021, they completed the "FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON" certification from NVIDIA. Mohamed Ali also obtained the "GETTING STARTED WITH DEEP LEARNING" certification from NVIDIA in the same month. In January 2021, they completed the "Learn Computer Vision with OpenCV Library using Python" certification from Udemy.

Furthermore, Mohamed Ali has completed several certifications from DataCamp. In November 2018, they completed the "Python Fundamentals Track," "pandas Foundations," and "Cleaning Data in Python" certifications. In October 2018, they completed the "Intermediate Importing Data in Python" and "Introduction to Importing Data in Python" certifications. Additionally, in September 2018, they completed the "Intermediate Python," "Introduction to Python," "Python Data Science Toolbox (Part 1)," and "Python Data Science Toolbox (Part 2)" certifications from DataCamp.

Mohamed Ali has also completed certifications in various topics from other platforms. In April 2020, they completed the "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" and "Neural Networks and Deep Learning" certifications from DeepLearning.AI. In September 2018, they completed the "Scrapy: Powerful Web Scraping & Crawling with Python" certification from Udemy. Mohamed Ali also completed the "What is Data Science?" certification from Coursera in September 2018.

Earlier certifications include the "Django Core | A Reference Guide to Core Django Concepts" certification from Udemy in May 2018, the "A Beginners Guide to Django" certification from Udemy in November 2016, and the "Selenium Webdriver with PYTHON from Scratch + Frameworks" certification from Udemy in December 2015.

It is worth noting that there is one additional certification, "Python GUI and Gaming 101 with Tkinter," for which the specific month and year of completion are not provided.

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Timeline

  • Research Engineer

    December, 2022 - present