• Applied transfer learning to achieve data efficiency while training on stereo video data. created a pipeline to collect and preprocess the data for the task. used augmentation to optimize

training efficiency. implemented different architectures for

solving the liveness problem using: Depth map generative models, optical flow generative models, texture analysis.    

• Participated in the development of products as an Embedded System Engineer, designing and testing of PCB designs,

low-level software development for ARM Processors, drivers

development, device trees, kernel modifications, debugging

hardware using Oscilloscopes, spectrum analyzers, function

generator), implementing GNSS systems and communications

using WiFi, 2G, 3G, 4G LTE.