CTO and Co-founder

• Jun 2022 - Present

Data Scientist

• Dec 2020 - May 2022

R&D Project Manager

• Jan 2020 - Dec 2020

Computer Vision and Software Engineer

• Apr 2018 - Dec 2019

<<<<<<<<<< COMPUTER VISION FOR EMPOWERING RETAIL EXECUTION >>>>>>>>>> <<<< Development of computer vision algorithms and softwares >>>> -------- Out of stock products on shelves in store -------- -------- Wrong prices displayed of price tags -------- -------- Misplaced product on shelves in store -------- <<<< Developing and using various machine learning and computer vision algorithms >>>> -------- Morphometrics -------- Texture detection, spatial filtering, morphometric operations, feature extraction in RGB and in 3D context. -------- Machine Learning -------- Bagging algorithm, object feature extraction algorithm, classification. -------- Deep Learning -------- Convolutional neural networks, tensorflow, human detection, use of pre-trained algorithm. -------- Development of libraries of computer vision -------- <<<< Software implementation >>>> -------- Language : Python -------- -------- Computer Vison libraries : OpenCV, Keras, TensorFlow, Numpy, Scikit -------- -------- Cloud technologies : Amazon AWS, boto3 library in Python -------- -------- DataBase : Rest API, Django -------- -------- Versioning : Git, Bitbucket -------- -------- Vision Context : Framed and Real time images, RGB and 3D Camera.-------- <<<< Soft Skills >>>> -------- Managing Interns -------- -------- Proposition of solutions and plan of implementation -------- -------- Tools for management : Trello, following track record of tasks, measuring results -------- -------- Pair working -------- -------- Speaker for MeetUps about Computer Vision in retail -------- Show less

Intern at IDS Department - Medical Imaging

• May 2017 - Dec 2017

The goal of this internship was to develop a statistical method that identifies the pattern of covariation between the features of a group of patients one of healthy subjects and one of unhealthy subjects, and at the same time that estimates the variations proper to each group (i.e. orthogonal to the other group). - Brain Imaging : extraction of brain data using brainvisa, freesurfer and freeview. - Covariation and Non Covariation Patterns Analysis : development of a method extending 2B-PLS to the orthogonal case inspiring from O2-PLS. Application of - Research and analysis on the different methods that separate common and distinctive variation. - Shape Analysis : Generalized Procrustes Analysis, development of simulations to implement the statistical research. - Development of a full algorithm pipeline from data extraction to the implementation of the statistical methods. Show less

Software Development Engineer Internship

• Apr 2016 - Jul 2016

- Bases de données Psql - Api Twitter, Facebook et Trooclick - Pipeline en streaming entre des facts publiés sur les réseaux sociaux et les bases de données - Scraping - Bases de données Psql - Api Twitter, Facebook et Trooclick - Pipeline en streaming entre des facts publiés sur les réseaux sociaux et les bases de données - Scraping

Data Science and Signal Processing Internship

• Jun 2015 - Dec 2015

The purpose of this internship was to be part of a project of voice recognition for people who have disabilities to speak. You are a handicapped person and you cannot be understood when you speak. We aim at enabling people to have basic communication with people. - Signal Processing : feature extraction of audio features using machine learning models. - Machine Learning : research of efficient distances between recordings, use of Support Vector Machine/Logistic Regression algorithm. - Algorithm Engineering : Julia, Python. Show less

Chargé d'études

• Aug 2013 - Dec 2013