Eivanovdev User

Led the architectural design and end-to-end delivery of resilient, low-latency backend services using Java and Spring Boot, establishing technical direction for production LLM and enterprise AI integrations. Improved high-throughput performance by optimizing thread management, MySQL query execution, and asynchronous event-driven architectures, reducing response times by 46%.

Owned integration for high-volume payment processing within a decoupled microservices architecture, using Redis for high-throughput transactional caching to achieve 99.99% uptime and seamless consistency. Architected localized core features and deployed lightweight React-based administrative tools, driving 21% growth in regional user acquisition.

Directed backend design and implementation for enterprise-grade client services, ensuring clean architecture, domain-driven design (DDD), and scalable NoSQL data modeling. Profiled and refactored high-load legacy applications, optimizing Kafka message streams and implementing caching strategies to improve throughput.

Contributed to development of a cloud-based automated credit/risk scoring platform using Java and Spring for a tier-1 regional banking institution. Helped plan infrastructure and tune relational databases to increase scalability to support 30,000 concurrent scoring requests under regulatory compliance timelines.

Developed and maintained an enterprise-scale automated accounting and logistics platform, ensuring data integrity across workflow engines backed by PostgreSQL. Participated in system design by structuring database schemas and algorithmic models, and automated logistical pipelines and internal monitoring scripts to improve processing efficiency.

Earned a Bachelor of Engineering in Computer Engineering from Don State Technical University from 2013 to 2017.