• Development of a neural network (UNet, PyTorch) for noise reduction in images obtained from a microscope.• Development of automatic segmentation of calibration samples from a microscope (OpenCV).• Creating a web service (ReactJS, Django, Docker, Redis) with built-in ML+DL algorithms to improve the quality of images from a microscope.• Participation in conferences and scientific competitions: • The Grand-final of the Andrey Melnichenko Russian Science CompetitionPS: RnD in the field of neuroscience using various ML+DL approaches

• Creating a search engine in the system for business offers (scikit-learn, nltk). • Creating a recommendation system, combining it with other recommendations based on user information.• Parsing an analog's site - getting data for training (ads and users) in json format.• Generation of Telegram bots according to a written script from json.