Anthony Piquet
Deep Learning, Computer Vision and Remote Sensing engineer at ERS - Ecosystem Restoration Standard- Claim this Profile
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Bio
Credentials
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Deploying TinyML: Optimization techniques for deploying neural networks, which uses microphone/camera/IMU inputs, on a small microcontroller (45x18mm, 1MB Flash, 256KB SRAM)
HarvardXApr, 2021- Sep, 2024 -
TensorFlow, Data and Deployment: Browser based models with TF JavaScript API, model deployment on Android/iOS, Raspberry Pi and microcontrollers
DeepLearning.AIMar, 2021- Sep, 2024 -
TensorFlow Advanced Techniques: Interpreting CNN results for debugging, eager and graph modes, distributed training on GPUs or TPUs, segmentation, object detection, GAN
deeplearning.aiFeb, 2021- Sep, 2024 -
Engineer's degree in Machine Learning, Deep Learning, Computer Vision and Robotics, specialization at Ecole polytechnique fédérale de Lausanne (EPFL)
CPE LyonFeb, 2020- Sep, 2024 -
Telepilots for civil aircraft operating without a person on board
Direction Generale de l'Aviation CivileDec, 2020- Sep, 2024
Experience
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ERS - Ecosystem Restoration Standard
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France
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Environmental Services
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1 - 100 Employee
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Deep Learning, Computer Vision and Remote Sensing engineer
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Apr 2023 - Present
◾️ Land monitoring from satellite images to estimate current and future carbon sequestration using Deep Learning algorithms ◾️ Soil type segmentation (land cover), prediction of forest density and biodiversity ◾️ Land monitoring from satellite images to estimate current and future carbon sequestration using Deep Learning algorithms ◾️ Soil type segmentation (land cover), prediction of forest density and biodiversity
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Parrot
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Russian Federation
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E-Learning Providers
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Deep Learning and Computer Vision Engineer
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Mar 2020 - Mar 2023
◾️ Image processing in C++: development of the vision part of autonomous flight plans◾️ Object detection, depth estimation and segmentation with neural networks (Deep Learning)
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Deep Learning Engineer Intern in the field of object detection for drones
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Sep 2019 - Feb 2020
◾️ State of the art in deep learning for object detection,◾️ Implementation of many architectures and techniques found in recent papers (Tensorflow, Caffe and PyTorch)
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Software developer trainee
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Jul 2017 - Jun 2018
Responsibilities: ◾️ Program development in C#, Powershell, Javascript, SQL Server, Scala ◾️ Scala + Powershell + SQL: carte blanche to implement load tests on the servers. Implementation of all the desired tests under Gatling (programming in Scala) after having made a state of the art of the possible solutions. Integration of these new tests in the environment (Powershell - TeamCity). ◾️ Wix Toolset: migration to a new technology to create the MachiningCloud app installer. Moving from a GUI tool (creation of the installer through an interface) to a technology based on a programming language. ◾️ C #, SQL Server: handling databases to better adapt them to current and future projects. ◾️ C# + SQL + HTML + CSS + Javascript: Improving an online dashboard: reduction of loading time from 3s to 0.2s, changing the whole design to make it more intuitive, adding pages to centralize all the necessary information stored in their databases. ◾️ C#: automation tests for a web application with Selenium and Visual Studio. Implementation of programs browsing and executing actions on the web application. ◾️ Javascript: Automating tests on TestComplete to help maintain the high quality of the MachiningCloud product line. Show less
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Education
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2018 - 2019
Ecole polytechnique fédérale de Lausanne
Master in Deep Learning, Machine Learning, image processing -
2015 - 2017
Ecole supérieure de Chimie Physique Electronique de Lyon
Engineer's degree, Computer science and image processing -
2013 - 2015
Institution des Chartreux
Preparatory Classes
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