Carl Lemaire
Learning Algorithms Analyst at Université de Sherbrooke
Sherbrooke, Quebec, Canada
Summary
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Senior🎓
Top SchoolCarl Lemaire is a Learning Algorithms Analyst with a decade of experience building data processing and machine learning pipelines for research at Université de Sherbrooke. He bridges deep learning research (neural network pruning and acceleration) with practical HPC support through Calcul Québec, mentoring colleagues and helping researchers run ML workloads on supercomputers. His background spans computer vision, real-time graphics, and DSP from internships at Metareal and Autodesk to a Master’s in Computer Science, giving him a rare mix of academic rigor and systems-level engineering. He also studied applied ethics, reflecting an interest in the broader impacts of AI beyond pure technical work.
10 years of coding experience
1 year of employment as a software developer
Sciences de l'image et des médias numériques, Digital Signal Processing, Sciences de l'image et des médias numériques, Digital Signal Processing at Université de Sherbrooke
English, French
Github Skills (149)
python10
style-transfer10
datasets10
deep-learning10
gpu10
gpu-acceleration10
optimization10
webcam10
acceleration10
multibox10
ml10
numpy10
neural-network10
hyperparameter-tuning10
computer-vision10
Programming languages (12)
Github contributions (5)
lemairecarl/ia-usherbrooke
Sep 2019 - Oct 2022
Contributions:4 PRs, 32 pushes, 5 branches in 3 years 2 months
lemairecarl/atelier-dl-cc
Jan 2020 - Dec 2022
Atelier de Deep Learning sur Calcul Canada
Contributions:1 release, 89 commits, 68 pushes in 2 years 10 months
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