Pavel Rumiantsev
Machine Learning Researcher at Huawei Technologies Canada Co., Ltd.
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolPavel Rumiantsev is a machine learning researcher with nine years of experience focused on building scalable AI systems and advancing robust, application-driven models. Currently at Huawei Canada and completing a PhD at McGill, he works on robust microwave-based breast cancer detection, clusterization with deep nets, and zero-shot neural architecture search—bridging medical imaging, remote sensing, and automated model design. His background spans industry ML roles from optical object recognition and tracking to crop classification from satellite imagery, giving him a practical track record of moving research into deployable solutions. Trained in applied mathematics and mechatronics, he combines strong theoretical foundations with hands-on engineering, often tackling noisy, real-world data and constrained sensing modalities.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at HSE Tikhonov Moscow Institute of Electronics and MathematicsBachelor's degree, Mechatronics, Robotics, and Automation Engineering, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering at MIREA (Russian Technological University)Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at McGill University
Russian, English, French
Github Skills (11)
optimizers6
nas5
neural-architecture-search5
architecture4
automl3
machine-learning3
iterative3
dimensions2
jupyter-notebook1
linear-systems1
jupyter1
Programming languages (4)
Github contributions (5)
Rufaim/Pendulum-problem
Nov 2017 - May 2020
This is InvertedPendulum problem solved with ActorCritic model
Contributions:2 releases, 2 PRs, 9 pushes in 2 years 6 months
solvedproblem
Rufaim/blockchain-go-project
Feb 2021 - Mar 2021
Contributions:37 commits, 2 PRs, 14 pushes in 1 month
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