– Assembled a high-performing backend development team (7 developers of middle to senior levels). Implemented streamlined processes for task planning, decomposition and evaluation in order to achieve stable feature deliveryLanguages: C++, Go, Python, Lua– Executed cloud migration of all backend and frontend services from company's internal cloud infrastructure to a robust multi-region setup based on Amazon Web Services. This allowed to achieve reduced latency for the customers and full legal compliance– Played key role (both as a solution architect and an individual contributor) in the launch of two projects: fleet/rental management system (Yango.Drive Tech) and rental marketplace (Yango.Drive)

Leading backend development team at Yandex.Drive – Yandex' own carsharing service– Reassembled the backend development team after a loss of 60% of developers. Hired and trained over 10 developers over the course of 2 years. Set up regular workflow for task planning, decomposition and evaluation– Introduced an availability metric for the carsharing service, along with a variety of tools to work on stability: on-calls, easily set-up monitoring and alerting, company-wide post-mortems. As a result uptime was greatly improved from 97% to 99,96%– Moved from a monolith backend architecture to a hybrid one with the introduction of microservices, allowing for faster Time-to-Market for product features– Supervised (as a “playing coach”) several major product launches: long-term rentals, driver scoring system to enhance safety of the service, multiple drivers during a single rental, a carsharing solution for B2B customersLanguages: C++, Go, Python, Lua

Languages: C++, Python, LuaTook a key role of developing and maintaining of Yandex' own carsharing service – Yandex.Drive:– Developed and maintained major part of the system – an IoT services, which is vital for a carsharing service, that served up to 40 000 connected cars across the country– Integrated Yandex infrastructure for A/B- and switchback experiments to allow our ML-department to make data-driven decisions on pricing policy and financial goals– Took responsibility for implementation and maintenance of all pricing-related features of the service (price calculation, final destination prediction, lifecycle management of ML-models) within the backend– Supervised and mentored interns and junior developers (4 people in total), helping them to get familiar with product-driven approach to backend engineering and improve their performance

Languages: C++, Python, Lua– Developed as a part of a small team a highly effective B2B routing solution for services within Yandex– Overtook technical leadership (both designing and coding) for several major product launches: first/last mile in Yandex.Taxi, Yandex.Routing API for solving traveling salesman problem for various businesses

– As a part of a team developed and maintained a full stack of search technologies (search engine, query recognition and alteration, document delivery and indexing systems) for clients within Yandex, internally known as Search as-a-Service– Developed and deployed a new realtime search runtime for Web documents, moving the content delivery system from at-most-once to at-least-once semantics that prevented any loss of freshly discovered web pages – Successfully reused the new realtime search runtime for image and video search, which improved the average time period between video document discovery and its presence in search index from 20-25 minutes to 10 minutes, significantly raising fresh video viewing time Project features: – Primary programming languages: C++, Python – Codebase: over 1 million LOC – Team: 4-5 members not including shared components developers – Heavy usage of CI, automated testing

Key responsibilities: – Carrying out scientific research in the field of solid state physics as a part of a team – Writing grant reports and papers on the research