I work as the Head of the Neural Networks Development and Data Analysis department at VITA, Samara, Russia.
Master's degree, AI Talent Hub at ITMO University, St. Petersburg.
You can reach me on Telegram at @smeyanof.
To get a better understanding of my projects, I have split my repositories into ML areas with short descriptions.
This project focuses on detecting car license plates and recognizing the numbers on them. YOLO was trained on Russian license plates.
Estimate the depth of an object using only a photo.
This project aims to find tags (short descriptions of locations) by analyzing user reviews about those locations. The RoBERTa model was used for this task.
Generate faces using GANs.
Use KubeRay to serve ML models in Kubernetes hosted on-premise.
Prefect Observer is a small pet project featuring a Go backend implemented with Domain-Driven Design (DDD) and a Vue.js frontend written in TypeScript. The main goal of the project is to "observe" the execution of Prefect tasks, grouping them into business-logic-driven workflows ("sendposts"), and provide real-time monitoring of their status.