My neural networks are like my coffee - deep and complex, with occasional unexpected outputs ☕
Hello! 👋 I’m Salim Benhamadi, a Machine Learning Engineer with a strong focus on Computer Vision and NLP. I’m passionate about transforming complex data into valuable insights through advanced modeling and data analysis. Skilled in data acquisition, cleansing, and statistical techniques, I enjoy building robust solutions that make a real impact. Let’s connect!
Leetcode Solved
Publications
Years Experience
Certifications
March 2024 - Present Padova, Italy
October 2023 - October 2024 Padova, Italy
February 2023 - June 2023 Vicenza, Italy
June 2022 - September 2022 Tunis, Tunisia
July 2021 - August 2021 Tunis, Tunisia
University Of Padova
Feburary 2025
The holder or holder of this Badge has obtained an international Master's Degree in ICT For Internet and Multimedia from the University of Padua.
University Of Padova
January 2024
The Badge Linguistic suitability for CLA - English B2 - Speaking certifies the achievement of a level equivalent to B2 for this skill for the English language compared to the level expected by QCER (Common European Framework of Reference) or CEFR (Common European Framework of Reference for languages), the European system that defines the standard of language skills.
Amazon Web Services
March 2025
Expires: March 2026
Validates foundational understanding of AWS Cloud, services, security, architecture, pricing, and support.
More certifications coming soon!
Ranked 18/514
June 2024
Zindi Africa
Ranked 20/84
February 2023
Zindi Africa
First Prize (MAE: 0.58)
July 2022
IEEE ENSI Student Branch
Ranked 4/40
June 2022
ENSI Junior Entreprise
Second Prize
March 2022
Google Developers
Ranked 14/493
March 2022
UmojaHack Africa 2022
Second Prize
February 2022
IEEE ENSI Student Branch
Third Prize
January 2022
Decentralize Impact & Dar Blockchain
Ranked 9/77
April 2022
Zindi Africa
With the unprecedented diffusion of virtual reality, the number of application scenarios is continuously growing. As commercial and gaming applications become pervasive, the need for secure and convenient identification of users, often overlooked by research in immersive media, is becoming increasingly pressing. This work investigates user identification through movement patterns and data traffic traces in commercial VR games, analyzing both opportunities for content customization and privacy implications.