Thomas Pasquier work email
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Thomas Pasquier personal email
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The most important thing for me in my work is to take care of the relationships with the people I collaborate with. This involves regular, clear, and supportive communication. I strive to do this even remotely, since 2015, when I started working from my coworking places.I have been working on R&D in Computer Vision and algorithm implementation for 15+ years. This has naturally led me to implement Deep Learning algorithms. A few years ago, I began working on the implementation of these algorithms in the cloud, which has sparked new passions in me: TDD, DevOps, and MLOps.My goal is to keep developing Data Scientist and MLOps skills.Here is a summary of my experiences :• DevOps and MLOps: Implementation of Computer Vision algorithm in the Cloud (AWS and GCP).• Machine Learning: Deep learning - CNN, Image/Object recognition, image segmentation.• Project Management: Installation of a 4D modeling platform (3D reconstruction over time and motion capture platform : https://kinovis.inria.fr/ ).• Hardware: Camera sensors and lenses, depth cameras, motion capture.• Computer vision : Markerless object tracking, 3D reconstruction (photogrammetry and SLAM), face Detection, segmentation.• You mix it up a little : 3D rendering, Augmented reality.And here are the programming languages I have worked with extensively : • Python• C++
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Computer Vision Engineer - Devops, MlopsWakatoon Jul 2015 - PresentParisMy mission is to develop and adapt computer vision algorithms, to implement distributed rendering and encoding service on AWS Lambda, and make them available through an API on AWS.This API that I'm developing is responsible for executing semantic segmentation algorithms to detect children's drawings. It also performs real-time cartoon (that integrates the detected drawings) rendering and encoding, distributed across multiple AWS Lambdas to ensure low-latency video streaming to the user. -
Computer Vision Engineer - Devops, MlopsAllure Systems Research France Oct 2018 - Apr 2020Paris Area, FranceMy mission was to automate the fashion image generation pipeline by adapting Machine Learning algorithms to perform semantic segmentation and image registration. Additionally, I was responsible for implementing the cloud architecture necessary to deploy and execute these algorithms in GCP Google Cloud Platform.I was in charge of a small computer vision team. We adopted an R&D working process. -
Project Manager, R&D EngineerInria Feb 2013 - Jul 2015Grenoble Area, FranceI worked within the Morpheo team at INRIA in Grenoble, which was specialized in 3D reconstruction, on the installation and exploitation of the Kinovis platform (http://kinovis.inrialpes.fr/). Kinovis is a research project comprising two studios:- One at INRIA Grenoble, which is a temporal 3D reconstruction (4D) studio allowing for markerless motion capture. It covers 100 m² and is equipped with 64 color cameras, as well as a 'traditional' motion capture system using markers.- The other is at Grenoble University Hospital (CHU), operating on the same principle but with only about ten color cameras and two C-Arms (live X-ray imaging devices). The goal is to establish a link between the internal and external surfaces of the body.My responsibilities during this installation project were as follows:- Technical consultant on the construction site: I attended site meetings to guide the design and oversee the construction process.- Defining requirements and specifying equipment in collaboration with the various research teams involved in the project.- Implementing a Python-based viewer for sequences captured by the Kinovis platform http://kinovis.inrialpes.fr/lucyviewer/). -
R&D Engineer - Computer Vision -Total Immersion Oct 2006 - Feb 2013Paris Area, FranceMy mission was to develop real-time computer vision algorithms to bring fluid augmented reality applications to life on smartphones.I primarily worked on the implementation and optimization of markerless tracking algorithms in c++ for mobile devices, but I also developed several other types of algorithms using OpenCV:Image recognition, marker tracking, natural interaction (hand tracking), face detection and tracking, 3D reconstruction, SLAM, calibration, 3D rendering, inertial sensors integration. -
Research Training In Robotic Computer VisionCea Mar 2006 - Sep 2006Paris Area, FranceMy mission was to develop a real time markerless 3D tracking system for robot grabbing control. -
Dut Training In Optics LaboratoryCsic May 2003 - Jul 2003Madrid Area, SpainMy mission was to renew the optic bench control software.
Thomas Pasquier Skills
Thomas Pasquier Education Details
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Computer Vision, Image Processing -
Techniques Instrumentales
Frequently Asked Questions about Thomas Pasquier
What company does Thomas Pasquier work for?
Thomas Pasquier works for Wakatoon
What is Thomas Pasquier's role at the current company?
Thomas Pasquier's current role is Computer Vision Engineer - DevOps, MLOps.
What is Thomas Pasquier's email address?
Thomas Pasquier's email address is pa****@****ail.com
What schools did Thomas Pasquier attend?
Thomas Pasquier attended Université Jean Monnet Saint-Etienne, Université Bordeaux I.
What are some of Thomas Pasquier's interests?
Thomas Pasquier has interest in Guitar, Capoeira, Sport, Rock Climbing, Paragliding, Percussions Artistic, Environment, Drawing And Painting, Hiking, Music.
What skills is Thomas Pasquier known for?
Thomas Pasquier has skills like Computer Vision, Augmented Reality, Image Processing, Software Development, Virtual Reality, Research, C++, Image Recognition, Project Planning, Mobile Computer Vision, C, Java.
Who are Thomas Pasquier's colleagues?
Thomas Pasquier's colleagues are Grégory Ronot.
Not the Thomas Pasquier you were looking for?
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Thomas Du Pasquier
Directeur Général At Unigestion Asset Management FranceGreater Paris Metropolitan Region1unigestion.com -
Thomas Pasquier
Étudiant En Master 2 Mathématiques Et Intelligence Artificielle À Université Paris-SaclayVersailles -
2gmail.com, thalesgroup.com
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Thomas Pasquier
Greater Paris Metropolitan Region
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