Alban De Boissiere

Senior Software Engineer - Platform AI

Switzerland
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Summary

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Senior
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Top School
Alban De Boissiere is a Senior Software Engineer specializing in Platform AI with 11 years of engineering experience and a focused 3+ year track record in computer vision across 2D and 3D. He moves state-of-the-art research into production, emphasizing fast iterations and software-development best practices to shorten ML lifecycle time-to-value. At Jumio he led ML infrastructure, cost-efficiency and GenAI initiatives and managed cross-functional teams building fraud and identity verification systems; he now works on Platform AI at Uber. His technical toolkit spans Python, PyTorch, ONNX, C#, C++ and SQL, and he has hands-on experience integrating vision models into real-time apps and game engines. Notably, he contributed to an industrial patent for fast 3D object extraction and has taught image processing fundamentals to engineering students. Based in Greater Montreal, he blends academic rigor from INSA Lyon and an MS in AI with practical MLE/MLOps leadership that bridges research partnerships and production-grade deployments.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at École de technologie supérieure
bookfrench baccalaureate Science, french baccalaureate Science at Lycée Français de Chicago
bookMaster of Engineering - MEng Electrical Electronics and Communications Engineering, Master of Engineering - MEng Electrical Electronics and Communications Engineering at INSA Lyon - Institut National des Sciences Appliquées de Lyon
languagesFrench, English, Spanish
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Github Skills (18)

infrared10
recurrent-neural-networks10
action-recognition10
paper10
computer-vision10
pytorch9
python8
ai8
machine-learning8
artificial-intelligence8
data-science7
deep-learning7
pretrain6
flashlight6
cpp4

Programming languages (4)

C#C++Jupyter NotebookPython

Github contributions (5)

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Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
Contributions:133 commits, 2 PRs, 118 pushes in 1 year 4 months
action-recognitionpytorchcomputer-visioninfraredntu-rgbd
An implementation of Alex Graves' "Generating Sequences with Recurrent Neural Network" with PyTorch (sections 4 and 5)
Contributions:26 commits, 2 PRs, 18 pushes in 5 days
pytorchrecurrent-neural-networks
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