À propos de Julien
Curious Machine Learning Engineer with 2+ years of experience in research and development of deep neural algorithms especially in computer vision. Obtain hands-on experience in training, evaluation and deployment of Deep Learning models through various frameworks. Possess strong interest in Artificial Intelligence with comprehensive knowledge of Machine Learning concepts and related domains. Desire to become an expert in Machine Learning Engineering.
Français
Capacité professionnelle complète
Anglais
Capacité professionnelle complète
Vietnamien
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- DRONE VOLTArtificial Intelligence R&D Engineerdécembre 2020 - Aujourd'hui (5 ans et 6 mois)Villepinte, France- Researched for deep learning techniques applied to video/image processing solution. Designed lean proofs of concepts. Applied existing methods or developed new methods.- Designed, trained and evaluated deep learning models. Maintained database and model life-circle for continuous delivery to meet feedbacks of clients.- Optimised trained model to be deployed in real-time applications in embedded system.- Worked with software engineers to deploy trained model in desktop application (window, linux) and in cloud-based web service.- Projects: Camera-based fire and smoke detection, Real-time license plate detection and recognition, Crowd counting, Ship parking management based on videos recorded by drone
- DRONE VOLTResearch Internjuin 2020 - novembre 2020 (5 mois)Villepinte, FranceSubject: "Video-based traffic analysis"- Evaluate the current version of vehicle detection system based on a neural network- Offer additional functionalities: vehicle classification, object tracking, traffic related statistics extraction- Perform a full test on drones
- DFM-EuropeEngineer Internjuin 2019 - septembre 2019 (3 mois)FranceSubject: "Fire alarm system controlled by Artificial Intelligence"- Build the fire alarm module by processing frames from cameras using classification algorithm- Build the people counter module using object detection algorithm Tools: Convolution Neural Network, Python, Keras API, OpenCV
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Formations
- Master's degree, Embedded ComputingISAE-ENSMA2020Master's degree, Embedded Computing
- Engineer's degree, Information Technology and AvionicsISAE-ENSMA2020Engineer's degree, Information Technology and Avionics