Nikita Gorbunov

- system analysis
- functional and no-functional requipment collecting
- principal scheme developing
- stakeholders survey
- project support at the development stage
- alignment of processes

Project stack: (Java 11, Spring, Apache Ignite, Apache Kafka, GPRC, ELK, Spring, Kubernetes, Helmchart, SonarQube, github ci)
1. Over the past two years, under my leadership, the following results have been achievied:
- the expert system of decision making by gambling area has been developed;
- the variants of resolving problem of maximization proceed in isolated economic system have been researched;
- the concept documents for realising founded algorithms for this problem and developed architectural schemes for infrastructure with my colleagues have been written;

As a result of the activities mentioned above, there was my further engagement in analytics and refinement of the decision making model. When these activities ended, I helped my team develop this project with the Spring.


Project stack: (Java 11, C++, CUDA, Gitlab with custom ci, Zabbix, InfluxDB)
2. I brought to the product form the system of decision making by card games area (other system). At this project we have the C++ analytical module for which I have achieved horizontal scaling on the java base clusters.

- Game theory analysis
- Simulation modeling
- CUDA C (only samples for calculating)
- C# 7.0, Net.Core 3.0, TortoiseGit, managed cuda (framework for using CUDA in C#)
- Java 8, Java11, gradle, gerrit, jvisualvm, JavaFX

- Network traffic analyze (unpacking,decompressing,unencrypting)
- Network binary packets with specific internal data format parsing
- Data serilisation: protobuf,json,xml,yaml
- Analyze of client's applications
- 3rd party library: zlib, tinyxml, janson

- Debugging on a remote machine via gdb

- Reading syscalls from Strace

- Reading and analyzing C,C++ and Perl code

- Working with kernel interface (SCST, MD, LVM module)

- Writing a logic module in a single-controller storage system using the Linux kernel (C++)

- Writing python scripts to automate the testing process

- Parsing sites with libraries (Python): requests, selenium, beautifulsoup, scrapy

- Reversing C utilities (fileio_tgt,fio)

- Writing custom engine for fio

- Working with Protobuf, Boost Asio( Writing simple client-server application), librbd, librados

- Reversing Ceph 

- Customizing cmake scripts