Michaël Ramamonjisoa is an AI research engineer with eight years of experience, currently contributing to Meta AI. He combines research rigor with engineering pragmatism to move models from experimental ideas toward production-ready systems. Based in France, he brings a continental perspective to large-scale AI challenges and likely works at the intersection of model development and applied deployment. Though his public footprint is minimal, his role at Meta AI indicates experience with cutting-edge ML research, collaborative engineering, and handling complex datasets and infrastructure.
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
Contributions:52 commits, 1 PR, 46 pushes in 1 year 10 months
depth-estimationiccv2019iccv19iccvw-2019iccvw
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