Experience

Stereolabs

• United States
• Software Development
• 1 - 100 Employee

• R&D Engineer

  • Sep 2021 - Present



Groupe Crédit Agricole

• France
• Banking
• 700 & Above Employee

• Data Scientist

  • Mar 2021 - Aug 2021

  Research work on uncertainty quantification of Deep Learning methods in recognition of scanned documents. Reliable estimation of model's confidence can allow a system to act autonomously or semi-autonomously, giving it the ability to say "I don't know" when fed unknown or out-of-distribution data. Research work on uncertainty quantification of Deep Learning methods in recognition of scanned documents. Reliable estimation of model's confidence can allow a system to act autonomously or semi-autonomously, giving it the ability to say "I don't know" when fed unknown or out-of-distribution data.



Odin Vision

• United Kingdom
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Software Engineering Developer

  • Sep 2019 - Feb 2020

  Development on the company's annotation-training-evaluation pipeline. My first task during this internship was to add features to Odin Vision's annotation tool, where I was able to discuss with medical clinicians an effective annotation process. During the largest part of my internship, I worked on an internal tool whose objective was to run containerized machine learning algorithms on any type of data in a scheduled manner, deployed on the cloud using Kubernetes and Apache Airflow. This tool provides an automation in retraining machine learning and deep learning models, once new annotated data is acquired.



Kernix

• France
• IT Services and IT Consulting
• 1 - 100 Employee

• Software Developer in the DataScience Department (Python, JavaScript)

  • Jun 2018 - Jul 2018

  I integrated the Data Science department and participated in Kernix's PSDP (Predictive Smart Data Platform) project. The project consisted in creating a smart data platform aiming to improve business intelligence features by providing a recommendation system, and predictive services (dashboard, ranking, scoring, ...).During this internship, I developed my skills in Python, and learned JavaScript (ReactJS in particular). I've achieved expertise in the use of databases, notably MongoDB and Neo4j. I've also learned a lot about the use cases of Data Science that exist today.Kernix was able to benefit from my skills as I helped the integration of a recommendation system, and developed a dashboard for the PSDP platform. I've also given a training course on Javascript and ReactJS for the members of the Data Science department.I've really enjoyed participating in such a data-driven project, as it challenged my skills, and enlarged my overall culture in Computer and Data Science.