Dmitry Shurov

A Python/Flask-based content publish server for animation and visual effects content exchange. I was a back-end developer for the project, and I designed the highly configurable and modular set of components to be implemented.

I was a part of the back-end team for Kaspersky Anti Targeted Attack Platform: a product to detect and respond effectively to the most complex cybersecurity threats, including APTs. The product uses advanced technologies such as machine learning and sandboxing applied to events and objects aggregated from across the corporate infrastructure.

On this project, I did the following:
• Created and updated a number of microservices for the product.
• Wrote integration and unit tests for the product and ensured the stability of CI/CD pipelines during the release.
• Developed pipeline automation tools to help detect errors in CI/CD pipelines and to detect the overall testing code coverage.
• Optimized the performance of the product by improving the database I/O patterns.
• Helped to improve the code quality of the product.

I was responsible for the research, design, and implementation of the facial motion capture system's core modules (recording, tracking, and retargeting). I also led machine learning R&D to make the system work in real-time and wrote integration plugins and tools for Maya and Unreal Engine.

For this project, I designed the architecture and implemented a set of software components for a computer-aided reconstruction of atomic models of bio-molecules and their complexes based on the low-resolution electron density maps.