As a lead of Platform team in CS.Money I guide my team on releasing deliveries aimed at simplifying developers’ life and shortening time-to-market. this is achieved by creating and maintaining transparent processes targeting both developers and end-users.
My team under my leadership has initiated and completed the migration of a bunch of the services from standalone machines to Kubernetes, and to fully managed Amazon Web Services. All of the resources were created with Pulumi IaC solution that allowed to use real programming language instead of markup language.
The best decision was to use Pulumi instead of Werf tool for deployment to k8s. To ease the deployment process of new services and the maintenance process of already deployed ones, some libraries were written. All of them were written in TypeScript programming language due to amount of code and better readability than Go language.

R&D Project sponsored by Huawei

A collaborative project between huawei and Peter the Great St.Petersburg Polytechnic University.
The goal was to develop a tool that will allow a developer to minimize the amount of test suites without impact on coverage. During the project, the prototype as a PoC was developed,research of different test suite minimization techniques was conducted. Java programming language was used for everything.
As a result of the project, an expandable minimization engine that can detect redundant tests was provided. A wide range of existing approaches and techniques was analyzed.

A research lab at Peter the Great St.Petersburg University that conducts original research and performs commercial developments in related fields.
The projects ranged from the development of an information system for owners, investors and residents of investment hotels to development of a software for behavioral strategies of mouse models analyzis.
A lot of projects were somehow related to artificial intelligence and computer vision. One of such projects was a software for disguised face detection on a video stream. Initially, that project was intended for banks, nevertheless, it continued as a research project.

R&D Project sponsored by Siemens

A collaborative project between siemens and the Peter the Great St.Petersburg Polytechnic University.
The goal was to investigate the possibility OF using artificial neural networks for software clone detection process. This research became a topic of master thesis. as an outcome of the project, the prototype as a PoC was developed.
Two programming languages were used - Java & Python. Java was used for AST (Abstract Syntax Tree) extraction and preprocessing, while Python was used for recurrent neural network implementation and post-processing.
Also, there was a need in a lot of data for training, testing and validation. Thus, besides PoC, a Mutator that allowed to generate a lot of artificial clones was also developed. This Mutator could generate all syntactical clones and its output was used for efficiency measurement.

PolyPhone

It's a project that started during course work in university but far too passionate to be restricted by it. Unfortunately not all members of the team were as involved as the software team. Even though this project died a horrible death, it was an awesome experience!

The mission was to create a phone from parts that are not designed to be used in a phone. This restriction moved us away from existing android ready Chinese boards.