Artem Tovkes is a Machine Learning Engineer at NtechLab since October 2020, where significant contributions include developing a solution for the liveness problem in face payment terminals in the Moscow metro and managing the complete problem-solving pipeline. Previous roles include serving as a Junior Machine Learning Engineer at NtechLab, where successful projects involved creating a face age estimation model that surpassed the best academic benchmarks and developing models to identify facial scars and tattoos. Experience also includes working as a Junior Machine Learning Engineer at the Moscow Institute of Physics and Technology, participating in liveness descriptor development, and speeding up algorithms using techniques like Eulerian Video Magnification. An internship at VisionLabs involved implementing advanced machine learning methods for descriptor research. Artem holds both a Master's and Bachelor's degree in Applied Mathematics and Computer Science from the Moscow Institute of Physics and Technology.
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