Andrey Rysin
Портфолио
Trading Company
Developing high-frequency trading strategies. - Developed the feature extraction and feature selection pipeline.
Neurus
Developing CV models for production and research uses in various fields - face recognition, image classification, image generation, and character recognition. Developing and maintaining auxiliary software for data collecting and model performance monitoring. - Improved face recognition accuracy from ~94% to 99% by altering the embeddings postprocessing and by using the SOTA embeddings handling framework. - Improved user experience by accelerating SQL procedures during face recognition (the delay became imperceptible for a user). - Implemented automatic collecting of a dataset using the Telegram bot.
Market Research
It is entirely my project I develop myself. By the link, there is only a demo version since I cannot disclose the original project (10k+ lines of code). The demo version contains an exhaustive description, and I am glad to discuss the project, its ideas and solutions, and answer your questions!