Development of classic ML and Computer Vision solutions tailored specifically for enhancing internal security, along with data engineering and full-cycle model deployment: • Developed an image classification/OCR model that streamlined candidate information collection, substantially cutting down paperwork and reducing company expenses

Research of various semantic segmentation models (neural networks) for different applicationsResearch areas: • unimodal (Camera or LiDAR) and multimodal (Camera + LiDAR) semantic segmentation • real-time semantic segmentation • attention mechanisms • contrastive learning algorithmsDeveloped an advanced computer vision system for unmanned vehicles and self-driving cars, improving their perception and decision-making capabilities. The research and development results have been presented in a Q1 journal and at conferences.

Development of a computer vision system for an unmanned helicopter: • Implemented a module for real-time radar image stitching on the onboard computer • Implemented separate modules for processing images and their metadata

Calculation of body dynamics in the environment: • worked on a module that simulated gas (fluid) flow around the body • implemented parsers for presenting calculation results in various formats