Diplômé de l’Ecole Polytechnique et d’un master en entrepreneuriat de l’UC Berkeley, Yassine décide de lancer le projet Deepsense à la suite de ses études en reprenant ses travaux de recherche où il développait des technologies de monitoring des variables physiologiques par vision. En 2018, il crée la structure Deepsense et constitue l’équipe fondatrice pour concevoir des produits issus de ces actifs technologiques. En 2019, poussé par le besoin du marché, Deepsense décide de se concentrer sur le marché de l’identité numérique et apporter un produit innovant aux problématiques du secteur. En moins d’un an, la société a triplé son effectif et ses clients.
Attracted by technological innovations and computer vision, Sophie joined Deepsense in the spring of 2020, to strengthen the fast growing R&D team. After a dual degree in Mathematics at La Sorbonne and in Social Sciences at Sciences Po Paris, followed by a Master’s degree in Economics at the University of Cambridge in the UK, Sophie started her career in London as an economic consultant, with a specific focus in healthcare. Being in charge of the modeling and quantitative aspects of her various assignments, Sophie has had the opportunity to work with major actors of the British health system, from the NHS to the Department of Health. The data and technical challenges she encountered during this time motivated her to further consolidate her technical knowledge. This is why she decided in 2018 to resume her education and follow the MS in Data Science at ENSAE. This one-year program enabled her to acquire a solid scientific background in ML/Deep Learning and strengthen her programming skills. At Deepsense, she is now part of a team of five Computer Vision Engineers with a wide range of profiles and backgrounds, where communication and knowledge sharing are encouraged (through discussions, presentations of research papers, sharing of best practices...).
Olivier is first of all passionate about mathematics and programming. He graduated from Supélec and then worked for more than 20 years in different startups in the audio and cell phone fields. As "Lead developer" and "R&D Manager", he participated in the development and marketing of many innovative products (hardware and software). Since 2017, he has been working on face liveness detection by video analysis. He joined Deepsense in 2019 to take charge of product development and the technical team. On a daily basis, he seeks to create the conditions to fluidify the processes, ensure the stability of the solution and enable engineers to meet the technological challenges we face.
At Deepsense, we are developing a biometric authentication solution. Our solution verifies an identity instantly while detecting fraud attempts: photos, videos or masks intended to fool conventional facial recognition systems. It only takes one second to authenticate oneself. To improve the user experience, we have designed the first completely passive facial authentication solution. No more need to interact with your phone to prove your existence. Thanks to our Computer Vision and Deep Learning algorithms, we offer a robust and seamless identity verification.
The DeepTeam is a graduate of the major engineering and business schools, but is also composed of curious and passionate self-taught people. The needs of the young and fast growing company are focused around Tech, Artificial Intelligence, but also Business and Product.
The common point that drives them in the same direction is curiosity, the quest for technical and strategic challenges and the will to deliver high quality products.
In addition to their fabulous offices located in the heart of Paris, Deepsense is also :
- A fast growing startup, with impactful and empowering jobs.
- An ambitious team that works in a healthy and simple atmosphere, conducive to fulfillment.
- A knowledge sharing with thematic lunches.
- Sport and regular afterworks to take care of your body and health.