I am an intern in Machine Learning in computer vision at Stanford University. My work focuses on video processing for scene understanding. More specifically, I train detection CNNs such as YOLO or Mask-RCNN using artificial scenes created in Unity and combining modeled data and data acquired with LIDAR systems. I won and achieved top rankings in multiples competitive programming contest in St-Petersburg. As a personal project, I also created an anti-theft device using arduino and gsm module and were invited to present my work at the scientific committee of the municipality of St-Petersburg.