Work

Where I've spent my time.

Full Stack Engineer focused on payment systems and backoffice tools for a high-traffic iGaming platform.

JavaSpring BootReactTypescriptSQLLiquibaseKubernetesDockerJenkinsGrafana
  • Working on payment services for a large European iGaming client, contributing to a high-traffic platform with millions of users
  • Developing micro frontend components in React for payment flows and backoffice dashboards
  • Building and maintaining backend services in Java and Spring Boot, ensuring high performance and reliability while integrating with third-party payment providers
  • Collaborating closely with cross-functional teams to design and implement new features, optimize existing ones, and ensure seamless integration across the platform
  • Participating in requirement analysis, task breakdowns, agile processes, code reviews, and architectural discussions

Backend Java/Spring Boot developer focused on system performance and code quality. Led development of sport data driven services

JavaSpring BootMySQLPostgreSQLFlywayRedisKeycloakHashiCorp VaultKubernetesDockerJenkinsGrafana
  • Elevated system performance with Java and Spring Boot optimizations
  • Overhauled database schemas to enhance query efficiency and reduce redundancy
  • Led refactoring initiatives for improved code readability and maintainability
  • Improved output of junior developers through direct mentorship and structured, consistent code reviews
  • Established a knowledge-sharing culture that shortened review cycles and improved delivery predictability
  • Designed and led development of Spring Boot services for sports events data that became the backbone for a regional streaming platform
  • Delivered a real-time sports data middleware now serving concurrent live-match viewers across the region
  • Introduced localization systems, custom caching mechanism, and custom authorization
  • Shipped a journalist-facing CMS Dashboard with configurable sports widgets

Delivered full-stack web products for clients across multiple industries.

JavaSpring BootAngularReactTypeScriptJavaScriptPythonDjangoSQLNoSQLDynamoDBFlywayCI/CDProject Management
  • Delivered over 10 production web applications across legal, healthcare, education, and automotive - all shipped on schedule
  • Translated complex client requirements into full-stack features with zero critical post-launch bugs on key projects
  • Scaled a solo operation into leading a 5-person team while maintaining delivery pace across parallel work streams
  • Ensured zero-defect code releases through rigorous manual and automated testing, code reviews, and CI/CD pipeline automation

Built a modular university information system and mentored junior developers.

JavaSpring BootAngularTypeScriptJavaScriptSQLFlywayPythonFlaskMaven
  • Developed a modular information system that unified University operations and 5+ departments
  • Automated dynamic PDF and Excel statistical report generation, eliminating hours of manual data work each week
  • Mentored junior developers on Angular, Spring Boot, and clean architecture - measurable improvement in PR quality
  • Designed a normalized database schema that reduced query load on the most-used administrative reports
  • Conducted code reviews to ensure quality and system reliability
  • Authored clear system documentation that reduced onboarding time, improved cross-department collaboration, and stakeholder communication
  • Launched the Business Information System on schedule with zero rollback incidents

Automated B2B product data extraction and drop-shipping platform uploads.

PythonSeleniumSQLMongoDBWeb ScrapingExcelopenpyxl
  • Built a Python scraper that automated collection of 10,000+ B2B product records and images daily
  • Eliminated manual Excel export work by automating report generation and drop-shipping platform uploads end-to-end
  • Maintained near-perfect data accuracy through structured exception handling and transaction logging
  • Cut data extraction time by ~80% using Selenium and direct JSON API request automation
  • Unified SQL and MongoDB pipelines to keep the product catalog clean and consistently ready for upload