О себе
Backend engineer with 3+ years of experience building and operating large-scale, data-intensive services in Kotlin/Java: high-volume event pipelines, log analytics, and developer-facing tooling (CI integrations, security-adjacent systems under PCI DSS). Take full end-to-end ownership - from design and estimation to implementation, testing, deployment, and on-call. Care about latency, reliability, and observability.
Опыт работы
Yandex Bank
Kotlin/Java Backend Engineer
KYC & AML. Ensured PCI DSS-compliant flows and auditability. Stores watermarked artifacts in AWS S3 and supports multiple formats with automated case attribution. Reduced onboarding time. Delivered end-to-end across the full development lifecycle.
- Reduced onboarding time
- Ensured PCI DSS compliance
Yandex Market
Kotlin/Java Backend Engineer
Logistics. Cut ETA-related support tickets by 3%. Improved on-time delivery by +2.3% and successfully processed route changes, despite a 5–10% latency trade-off. Implemented robust retry/poison-queue strategy.
- Cut ETA-related support tickets by 3%
- Improved on-time delivery by +2.3%
True Engineering
Kotlin/Java Backend Engineer
S7 booking. Reduced response time from 15s to 5s by profiling external-call bottlenecks and adding Hazelcast-backed Spring Cache; designed safe cache invalidation. Implemented transformation logic; eliminated a bug class responsible for a 4% incident rate. Added LLM-based error triage for CI/log analytics, handling high log volumes at near-constant memory.
- Reduced response time from 15s to 5s
- Eliminated a bug class responsible for a 4% incident rate
Sberbank
Java Backend Intern
Mutual funds. Aligned with team standards, standardising onboarding for new services. Implemented scheduled cleanups. Auditing.
Проекты
AnyModal
Multimodal on-premise search engine with support for various integrations with storage (google drive/Yandex disk/Device Local Storage) and trackers (yandex tracker, jira). The project has received an invitation to become a resident of the Akadempark technopark (Novosibirsk)
CPU/GPU Ray Tracing
Ray tracing engine and image processing: parallel rendering via Kotlin Coroutines on real thread pools/Metal Api on Apple silicon GPU.
Образование
Novosibirsk State University
2021 — 2025Faculty of Information Technology, Department of General Informatics
БакалаврНаграды
Jetbrains Foundation scholarship for excellent studies
2021