Ivan Cheltsov
Machine Learning Engineer at Knauf Energy Solutions
Bath, England, United Kingdom
Summary
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Top SchoolIvan Cheltsov is a Machine Learning Engineer and third-year PhD candidate in Applied Mathematics at the University of Bath with eight years' experience applying mathematical methods to real-world imaging and optimization problems. His research focuses on bilevel optimization with practical outcomes in imaging — notably developing efficient solvers for reconstructing noisy Radon transforms from CT scans — and he leverages Python and MATLAB for prototyping and experimentation. Soon transitioning into industry at Knauf Energy Solutions, he aims to bridge rigorous numerical analysis with applied ML, data science, and hyperparameter optimization. Collected training at the University of Edinburgh and Bath gives him a strong theoretical foundation paired with hands-on engineering instincts for turning complex inverse problems into deployable solutions.
7 years of coding experience
Master's degree Mathematics, Master's degree Mathematics at The University of EdinburghDoctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at University of Bath
Github Skills (13)
ros10
mavlink9
autopilot9
drones9
px48
rover8
raspberry-pi7
binding6
qgroundcontrol6
gdscript4
python4
godot3
java3
Programming languages (2)
Github contributions (5)
chip-pragma/ameise_graphlabs
May 2019 - Jun 2019
Contributions:7 releases, 35 pushes, 22 branches in 1 month
Ameise-github/WordProcessing
Apr 2020 - May 2020
Contributions:22 pushes, 8 branches in 1 month
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