I'm a software engineer specializing in building scalable backend services. I participated in the InfoSoft hackathon. I build reliable systems with a focus on business logic.
AgroMatrix — "Digital Advisor" for Agronomists.
- Concept: A geospatial analysis system for crop rotation planning using ML-based risk assessment.
- Smart Analytics: Unlike standard digital logs, it recommends crops based on soil chemistry, economics, and weather risks.
- Tech Stack: Java 17+ & Spring Boot for the "Brain", Python (Scikit-learn) for ML-scoring, and Leaflet for interactive field mapping.
- Key Feature: Predictive models for drought/disease risks and price trend forecasting using ARIMA/Prophet.
Core & Backend
Databases & Tools
Testing & Monitoring
API & Dev Tools
- GrainNode (Elevator Management): Architected a modular monolith using Spring Modulith with 4 bounded contexts.
- Performance Optimization: Leveraged Java 21 Virtual Threads to handle heavy reporting tasks efficiently.
- Reliability: Implemented the Transactional Outbox pattern for guaranteed event delivery.
- Observability: Set up Prometheus & Grafana dashboards to track business metrics and system health (HikariCP).
- AutoCatalog Service – PHP-based university lab project where I mastered OAuth2/Yandex ID integration and RBAC logic.
- Brief Builder – Automation of brief creation: PDF generation and data mapping via MapStruct.
- AI-Insight Dashboard - This is a full-stack application with a Spring Boot backend (Java 21) and React/TypeScript frontend, providing an admin dashboard for managing users and insights.
- Best MVP – Hackathon (Awarded for developing the most viable Minimum Viable Product).
- Social Project – Recognized for creating a high-impact solution addressing significant social challenges.
Omsk State Technical University: Software Engineering (2022–2026). JetBrains Academy: Backend Development (Java).