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Egor Danilov is a Machine Learning Engineer at Wayvee since October 2023, specializing in algorithms for wifi and radar computer vision, alongside developing a time series segmentation algorithm and neural network output validation. Previously, Danilov worked at Fermilab as a Research Assistant on neural network-assisted inference for stochastic processes, and held a Research Internship at the Laboratory of Astrophysics (LASTRO) at EPFL, focusing on stochastic optimization of Gaussian processes. Earlier experience includes positions as a Junior Research Scientist at the Space Research Institute (IKI) involving spectral analysis of galaxy clusters, a Backend Software Engineer at VelvetFormula in cryptocurrency trading, and a Computer Engineer at CFT. Educational qualifications include a Master of Science in Astrophysics from EPFL and a Bachelor of Science in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology.