Martin Ivanoski

• Evaluated AI-generated code quality through detailed analyses, achieving a 20% reduction in errors and improving functional efficiency.
• Designed and implemented robust test cases that increased code coverage by 15%, validating code performance and contributing to next-gen coding tool development.

• Contributed to AI training improvement projects, using Java, Python, C++, Bash, and JavaScript to advance generative AI model capabilities, reducing training time by 25%.
• Developed and refined AI-generated code, solving complex coding challenges to deliver optimal programming solutions, decreasing error rates by 15%.

Domain Simplifier Project

• Lead Developer: Developed a full-stack application combining a Vaadin UI with a Spring Boot backend, streamlining portfolio managers' workflows and reducing operational complexities to save 100 hours/week company-wide.
• Tech Stack: Java-based full stack, Spring Boot, Vaadin.

VestmarkONE

• Technical Debt Reduction: Resolved thousands of issues in VestmarkONE, significantly enhancing code quality and reducing Jenkins deployment time by 20%.
• Testing & Quality: Initiated comprehensive testing to boost code coverage by 15% and integrated Jenkins with SonarQube.
• Onboarding Improvement: Created detailed onboarding documentation that accelerated the training process by several days for new hires and interns.
• Integration Enhancement: Created a Keycloak template to streamline microservice integration, leading to faster adoption and setting new company standards.
• Agile Collaboration: Prioritized features and improvements in an agile team to enhance user experience.
• Tech Stack: Java, JUnit, Jenkins, SonarQube, Bitbucket, Jira.