Antoine Mercier
AI Researcher (Engineer, Senior Staff) at Qualcomm
Greece
Summary
👤
Senior🎓
Top SchoolAntoine Mercier is a senior AI researcher and engineer with a decade of experience building production-grade machine learning and deep learning solutions across media, consumer, and research settings. Based in Greece and currently at Qualcomm, he has a strong track record in computer vision (gesture recognition, facial/landmark/sport recognition), recommendation systems, and applied ML pipelines that bridge research and engineering. He contributed practical open-source work on gesture recognition by training and integrating custom classifiers into video pipelines, demonstrating end-to-end feature extraction and fine-tuning expertise. His background spans broadcaster-grade media metadata projects at RTS to research-driven roles at Twenty Billion Neurons, showing an ability to move models from prototypes to robust deployments. Trained in engineering and manufacturing systems, he combines systems thinking with a data-first curiosity that surfaces unexpected value from messy real-world data.
10 years of coding experience
6 years of employment as a software developer
Ecole centrale de LilleCPGE, MP* option informatique, CPGE, MP* option informatique at Lycée Aux LazaristesMaster of Science (MSc), Engineering and management of manufacturing systems, Master of Science (MSc), Engineering and management of manufacturing systems at Cranfield University
French, English
Github Skills (15)
neural-network10
pytorch10
machine-learning10
gesture-recognition10
computer-vision10
deep-learning10
scikit-learn9
python9
scikit9
logistic-regression8
feature-extraction8
360-video8
mask-rcnn7
faster-rcnn7
relu7
Programming languages (3)
Github contributions (5)
quic/sense
Oct 2020 - Mar 2021
Enhance your application with the ability to see and interact with humans using any RGB camera.
Role in this project:
ML Engineer
ML EngineerContributions:39 reviews, 131 commits, 24 PRs in 5 months
Contributions summary:Antoine's commits primarily focused on training a custom classifier for gesture recognition within the context of a computer vision project. They developed a training script for a classifier, extracted features from videos using a pre-trained feature extractor, and finetuned the model. Furthermore, they integrated the custom classifier into a gesture recognition pipeline.
pytorchdeep-learningcameracomputer-visionneural-networks
quic/sense-iOS
Oct 2020 - Feb 2021
Enhance your iOS app with the ability to see and interact with humans using the RGB camera.
Contributions:5 reviews, 27 commits, 4 PRs in 3 months
ios-appcameralibimobiledeviceabilityinteract
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.