Marcela Carvalho is a Senior Machine Learning Engineer based in Paris with nine years of experience applying computer vision and ML to industrial and edge deployments. She holds a PhD in Computer Vision and has a track record of turning research ideas—monocular depth estimation, defocus-based cues, and multi-task aerial imaging—into deployed systems and publications. At Upciti she optimized models for fast edge inference, led TinyML and knowledge distillation efforts, and co-authored an award-winning privacy-by-design paper developed with ONERA. Currently at Samp she combines 2D/3D panoptic segmentation on point clouds with MLOps practices to productionize perception for industrial sites. Marcela blends deep academic rigor with practical engineering—mentoring students and interns while shipping ONNX/MLflow pipelines and real-world data collection rigs. Fluent in building both datasets and lightweight, high-accuracy models, she thrives at the intersection of research, deployment, and privacy-aware design.
9 years of coding experience
3 years of employment as a software developer
Master's degree (Best Student) Mechatronics Robotics and Automation Engineering, Master's degree (Best Student) Mechatronics Robotics and Automation Engineering at University of Montpellier
Bachelor of Engineering (B.Eng.) Mechatronics Robotics and Automation Engineering, Bachelor of Engineering (B.Eng.) Mechatronics Robotics and Automation Engineering at ENSTA
Doctor of Philosophy (PhD) Computer vision, Doctor of Philosophy (PhD) Computer vision at Université Paris-Saclay
Engineer's degree Mechatronics Robotics and Automation Engineering, Engineer's degree Mechatronics Robotics and Automation Engineering at Universidade de Brasília
Contributions:95 pushes, 2 branches in 7 years 1 month
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Marcela Carvalho - Senior Machine Learning Engineer at Samp