Thomas Pasquier
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Thomas Pasquier Email & Phone Number

Computer Vision Engineer - DevOps, MLOps at Wakatoon
Location: Périgueux, Nouvelle-Aquitaine, France 6 work roles 2 schools
1 work email found @wakatoon.com LinkedIn matched
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Work email t****@wakatoon.com
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Current company
Role
Computer Vision Engineer - DevOps, MLOps
Location
Périgueux, Nouvelle-Aquitaine, France
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Who is Thomas Pasquier? Overview

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Quick answer

Thomas Pasquier is listed as Computer Vision Engineer - DevOps, MLOps at Wakatoon, a company with 5 employees, based in Périgueux, Nouvelle-Aquitaine, France. AeroLeads shows a work email signal at wakatoon.com and a matched LinkedIn profile for Thomas Pasquier.

Thomas Pasquier previously worked as Computer Vision Engineer - DevOps, MLOps at Allure Systems Research France and Project manager, R&D Engineer at Inria. Thomas Pasquier holds Engineer (Equivalent To Master'S Degree), Computer Vision, Image Processing from Université Jean Monnet Saint-Etienne.

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Email format at Wakatoon

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{first}@wakatoon.com
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Profile bio

About Thomas Pasquier

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++

Listed skills include Computer Vision, Augmented Reality, Image Processing, Software Development, and 18 others.

Current workplace

Thomas Pasquier's current company

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Wakatoon
Wakatoon
Computer Vision Engineer - DevOps, MLOps
Website
Employees
5
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6 roles

Thomas Pasquier work experience

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Computer Vision Engineer - Devops, Mlops

Current

Paris

My 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.

Jul 2015 - Present

Computer Vision Engineer - Devops, Mlops

Paris Area, France

My 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.

Oct 2018 - Apr 2020

Project Manager, R&D Engineer

Grenoble Area, France

I 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.

Feb 2013 - Jul 2015

R&D Engineer - Computer Vision -

Paris Area, France

My 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.

Oct 2006 - Feb 2013

Research Training In Robotic Computer Vision

Cea

Paris Area, France

My mission was to develop a real time markerless 3D tracking system for robot grabbing control.

Mar 2006 - Sep 2006

Dut Training In Optics Laboratory

Madrid Area, Spain

My mission was to renew the optic bench control software.

May 2003 - Jul 2003
2 education records

Thomas Pasquier education

FAQ

Frequently asked questions about Thomas Pasquier

Quick answers generated from the profile data available on this page.

What company does Thomas Pasquier work for?

Thomas Pasquier works for Wakatoon.

What is Thomas Pasquier's role at Wakatoon?

Thomas Pasquier is listed as Computer Vision Engineer - DevOps, MLOps at Wakatoon.

What is Thomas Pasquier's email address?

AeroLeads has found 1 work email signal at @wakatoon.com for Thomas Pasquier at Wakatoon.

Where is Thomas Pasquier based?

Thomas Pasquier is based in Périgueux, Nouvelle-Aquitaine, France while working with Wakatoon.

What companies has Thomas Pasquier worked for?

Thomas Pasquier has worked for Wakatoon, Allure Systems Research France, Inria, Total Immersion, and Cea.

Who are Thomas Pasquier's colleagues at Wakatoon?

Thomas Pasquier's colleagues at Wakatoon include Grégory Ronot.

How can I contact Thomas Pasquier?

You can use AeroLeads to view verified contact signals for Thomas Pasquier at Wakatoon, including work email, phone, and LinkedIn data when available.

What schools did Thomas Pasquier attend?

Thomas Pasquier holds Engineer (Equivalent To Master'S Degree), Computer Vision, Image Processing from Université Jean Monnet Saint-Etienne.

What skills is Thomas Pasquier known for?

Thomas Pasquier is listed with skills including Computer Vision, Augmented Reality, Image Processing, Software Development, Virtual Reality, Research, C++, and Image Recognition.

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