• Transformed trade finance operations, creating a seamless digital platform for corporate clients to manage key financial instruments (bank guarantees, letters of credit, express guarantees). By automating the issuance and processing, we delivered a faster and more convenient service, which provided the bank a competitive advantage, attracting dozens of new major clients.• Boosted bank profits 10x by enabling scalability through automation. The platform allowed the bank to offer services to small and medium businesses without expanding staff costs, resulting in a significant increase in revenue.• Drove digital adoption, increasing the use of digital signatures from 20% to 70%, expediting the transaction process for clients. This change not only improved customer satisfaction but also reduced operational costs associated with manual processing.• Led a legacy system migration that cut reliance on outdated APIs from 60% to 10%, migrating to a microservice architecture with 44 services by year-end. This shift reduced maintenance costs and improved system reliability, laying the groundwork for rapid feature development.• Optimized development and deployment cycles by introducing Kubernetes (K8s), allowing for weekly feature releases with near-zero defects, reducing time-to-market for new functionalities.• Enhanced platform interoperability by integrating with external systems, such as the state tender system, boosting functionality and supporting business growth by enabling seamless data exchange across multiple entities.Tech stack: Java 11-17, Kotlin, Spring, Gradle, Kafka, RabbitMQ, PostgreSQL, Hibernate, Liquibase, GitLab CI/CD, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Docker, Ansible, SonarQube, S3

• Developed an advanced automated system to optimize the evaluation and management of corporate client contracts, replacing the inefficient, Excel-based processes previously used by the corporate client control department. This reduced the need for operational staff by 80% while maintaining the same volume of active clients and enabling further client base expansion without increasing headcount.• Streamlined end-to-end process automation using Java (Spring Framework) and Hibernate, resulting in a 75% automation rate and saving the bank hundreds of millions annually by minimizing manual errors and reducing operational costs.• Led a team of 6 developers after a successful proof-of-concept phase, overseeing system expansion and establishing an efficient workflow with clear task distribution. Thanks to a well-organized team structure and effective task management, we successfully maintained high development speed and feature quality throughout the expansion phase without increasing the development team size.• Enhanced interdepartmental data exchange, integrating the system with multiple internal and external systems, enabling comprehensive client risk assessments and minimizing processing delays by 90%.• Developed an automatic client monitoring system to predict financial outcomes, reducing bank losses by 70% through timely identification of high-risk clients and enabling proactive risk management.• Drove significant cost optimization by implementing a microservice architecture, improving the system’s scalability and modularity, reducing future development and maintenance efforts.• Optimized reporting and analytics through the introduction of ElasticSearch, delivering real-time visibility into contract statuses and enabling the department to make proactive, data-driven decisions.Tech stack: Java 8-17, Spring, C#, Maven, Apache Kafka, ElasticSearch, Oracle DB, MongoDB, S3, Hibernate, Liquibase, Prometheus, Grafana, Docker, Kubernetes.

• Enhanced and managed the ERP and CRM system (Microsoft Dynamics NAV) for small and medium-sized businesses, overseeing a comprehensive suite of applications (cloud services, Windows desktop, and web applications) to provide a unified and efficient solution for business management.• Optimized backend processes using .NET Core and .NET Framework, resulting in a 60% increase in overall system performance, faster data processing, and improved response times, which significantly enhanced the user experience.• Reduced operational costs by 50% through system optimizations, allowing small and medium businesses to manage their operations more effectively without the need for additional infrastructure investments.• Led cross-functional collaboration with software architects, UX/UI designers, and QA engineers to ensure seamless system integration and maintain high standards of code quality.• Improved feature delivery speed by 80% by streamlining the development workflow, enabling rapid iteration and reducing the time-to-market for new functionalities.• Conducted detailed code reviews and implemented best practices, achieving a bug rate reduction of 60%, which minimized production issues and reduced system downtime.• Enabled scalability for the ERP system, allowing it to support a growing number of businesses without impacting performance, thus positioning the company as a reliable solution provider for small and medium enterprises.Tech stack: .NET Core, .NET Framework, C#, MSSQL Server, Microsoft Dynamics NAV.

• Designed, developed, and maintained the enterprise management system for Megafon, one of the largest mobile communication retail chains in the region, ensuring smooth backend operations and supporting over 500 retail stores.• Implemented robust security measures and optimized performance to process millions of transactions daily, achieving a 75% improvement in system throughput, which reduced transaction processing times and improved overall user satisfaction.• Integrated third-party APIs and services, expanding system functionality to support new business requirements, which enabled Megafon to offer new services and increase revenue by 40%.• Minimized system downtime and operational costs through proactive issue identification and swift resolution of technical challenges, ensuring almost a 100% system uptime.• Enhanced system scalability and maintainability by applying design patterns and architectural best practices, allowing the platform to support a growing user base without additional infrastructure investments.• Collaborated with cross-functional teams to gather requirements, conduct testing, and deliver scalable solutions on time, maintaining high-quality standards and reducing bug rates by 40% through rigorous code reviews and continuous integration practices.• Contributed to continuous improvement through regular updates and optimizations, resulting in increased operational efficiency and lower maintenance costs.Tech stack: .NET Framework, C#, ASP.NET Core, Entity Framework, Oracle DB.

• Developed a desktop application for processing and visualizing telemetry data from spacecraft during critical phases of the ISS mission (launch, docking, and return). This application enabled real-time data analysis, providing mission engineers with actionable insights for timely decision-making and ensuring mission safety.• Created an application for precise temperature and illumination control of spacecraft systems using advanced mathematical algorithms, optimizing thermal management and maintaining optimal operating conditions for sensitive onboard equipment, which prevented potential system failures during extended missions.• Pioneered a 3D eye model reconstruction tool using applied mathematical techniques to convert 2D images into a 3D structure with high accuracy. This innovation opened new possibilities for medical imaging and biometric applications, providing a foundation for further research and development in these fields.• Utilized a diverse tech stack including .NET Core, C#, Unity, PostgreSQL, Python, C++, and MATLAB to deliver highly efficient solutions for complex scientific and engineering challenges, showcasing an ability to seamlessly integrate backend development with mathematical modeling.• Collaborated with interdisciplinary teams, translating complex mathematical models into user-friendly software tools, and contributed to multiple high-impact projects that enhanced system capabilities and improved scientific research outcomes.Tech stack: .NET Core, C#, Unity, PostgreSQL, Python, C++, MATLAB.