Designing and developing internal microservices that significantly facilitate the routine work of the HR/Recruiting department● Splitting a major monolithic legacy service into several microservices, resulting in a 90% reduction in user incidents (from 2-3 per week to 1 per month).● Designed the asynchronous microservices architecture for a candidate response collection system, reducing the time to add a candidate to the internal system by fivefold.● Automated the process of transferring employees between legal entities, saving over 2000 hours of manual labor.● Implemented Grafana-based monitoring dashboards for key services, increasing the number of incidents detected before users encounter them.● Covered a range of services with unit tests from scratch using pytest, achieving a 50%+ test coverage● Contributed to team growth by conducting technical interviews, onboarding new team members, defining technical standards for the department, optimizing development processes, and enhancing internal libraries

Worked on expanding the functionality, enhancing the reliability, and improving the user experience of VPN devices. Led a team of 11 people. (50% architecture, design setup, 30% managerial duties, 20% coding)● Designed DMVPN support by integrating an open-source NHRP protocol implementation, reducing average large VPN-network configuration time by 20%.● Developed a VPN channel SLA check tool with automatic switching, cutting down specific VPN issue detection time from 10 to 3 seconds.● Automated the deployment of test environments on VMWare ESX using Python, reducing testing labor by 30%.● Mentored engineers, with 8 individuals advancing from intern to middle/senior level.● Presented at network security conferences, including a speech to over 200 people at Cisco Connect.

● Mentored 18 students, 100% of whom completed their bachelor's and master's degrees and successfully found work in the computer science field● Developed from scratch practical materials for training courses in the disciplines: Computer Systems and Networks, Introduction to AI, Network Security in which more than 500 students have already studied