photo de profil d'un membre

SOUAD

CV Chaabouni

Expériences professionnelles

Cheffe de projet ia

ECAA , St raphael

De Janvier 2026 à Aujourd'hui

Ingenieure developpeuse r&d

C2S , Frejus - CDI

De Octobre 2018 à Mars 2024

Led project proposals and managed internships to enhance the performance of a fall detection system.
Supervised and coordinated annotation staff to ensure high-quality data input.
Contributed valuable insights and recommendations during weekly R&D team meetings.
Achieved over 95% reduction in false alerts, improving the accuracy of true fall detection.
Designed and implemented a comprehensive artificial intelligence process utilizing deep neural networks across all components of the VA2CS solution, focusing on real-time object detection and human action recognition, with the addition of action segmentation capabilities.
•Achieved over 92% reduction in false positive alerts through system improvements and enhancements.
•Contributed to the development of the new mini-VA2CS and the web platform, assisting in their conceptualization and design.

Post-doc

Laboratory of Computer Science, Signals and Systems of Sophia Antipolis , Sophia antipolis

De Décembre 2017 à Septembre 2018

Associations

L'esterlenco

https://esterelenco.fr/

Membre

becabar

https://becabar.fr/

Membre

Parcours officiels

École doctorale - Mathématiques et Informatique – Doctorat – Informatique – 2017 – DOCT LMD-3

Compétences

Tensorflow
Python
Data Annotation Management
Deep Learning
Real-Time Object Detection
Human Action Recognition
Action Segmentation
System Improvement and Optimization
Web Platform Development
Jira
MySQL/Postgres/JSON
copilot
claude