Miniar Ben Gamra

Miniar Ben Gamra's work experience includes:

- Currently working as an AI Scientist at Nuvoola AI since December 2022.

- Served as a Research Assistant at Université de Moncton from January 2020 to November 2022. In this role, gained extensive research skills and practical experience in designing, implementing, and optimizing models. Utilized deep learning techniques in multiple projects sponsored by NSERC and developed skills in data gathering and preparation.

- Completed an internship at Énergie NB Power from May 2021 to May 2022. Worked on a project focused on electrical components detection/segmentation using deep learning. Responsibilities included data collection and preparation, localized insulators and towers using object detection models, and trained several object segmentation networks to localize power lines.

- Interned at Two Hat from February 2020 to July 2020. Worked on a project involving body parts detection using deep learning. Conducted analysis on pose estimation challenges, prepared a large-scale dataset, and implemented and trained a CNN-based model using EfficientNet.

- Completed an internship at Université de Moncton from May 2019 to July 2019. Worked on a deep learning project for lung cancer classification and gained familiarity with mathematics and machine learning libraries such as numpy, pandas, and scikit-learn.

- Served as a summer intern at Amaris in July 2018, where they discovered the professional environment, worked with the Telecom consulting team, and got acquainted with the tools of the operator Bouygues Telecom.

- Also completed a summer internship at GlobalNet Tunisie in July 2017.

Miniar Ben Gamra holds a Master's degree in Computer Science from Université de Moncton, which was obtained between 2020 and 2022. Prior to that, Miniar completed an Engineer's degree in Computer Science from INSAT - Institut National des Sciences Appliquées et de Technologie, from 2014 to 2019. In addition to these academic qualifications, there is no information available regarding any specific certifications obtained by Miniar.