Vasily Sokolov is a seasoned software engineer with nine years of professional experience and a Ph.D. in histogram analysis of thermal images, blending deep signal-processing and machine-learning expertise with modern full-stack web development. He has led teams and shipped production systems across embedded C++/OpenCV/ROS domains and cloud-native JS stacks (React/Redux/Node), most recently contributing to Bitfinex and the reSolve CQRS/DDD framework with performance tracing and media management enhancements. His background spans digital filters, FFTs, image/audio target detection and classification, plus practical experience building financial analytics platforms and UI/UX for large data sets. Comfortable from algorithm design to front-end delivery, he pairs rigorous academic training with hands-on product engineering and an Australian SI189 visa for relocation.
9 years of coding experience
15 years of employment as a software developer
Ph.D, Histogram Analysis of Thermal Images, Ph.D, Histogram Analysis of Thermal Images at Tula State University
Full stack CQRS, DDD, Event Sourcing framework for Node.js
Role in this project:
Full-stack Developer
Contributions:95 commits, 15 PRs, 116 pushes in 1 year 8 months
Contributions summary:Vasily primarily focused on refactoring the application and adding performance tracing within the reSolve framework. They modified various handlers and the main application cloud and common entry points to incorporate performance monitoring. Additionally, they introduced enhancements to media management, including image uploading and a related API handler, and made improvements and fixes across multiple components of the example application. The user also made updates related to authorization and personal data gathering within the application.
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Vasily Sokolov - Software Development Services at Bitfinex