Developed a high-performance image processing feature for the eugenp/tutorials repository by implementing a fast Gaussian blur algorithm in Java, utilizing a two-pass box blur optimization to enhance computational efficiency. Established a robust testing framework and created comprehensive unit tests to validate correctness on both edge cases and real images, ensuring reliability and accuracy. Collaborated on the delivery of this feature through co-authored commits, emphasizing traceability and teamwork. This work improved the quality of educational materials in the repository, demonstrating expertise in algorithm optimization, image processing, and test-driven development while providing a practical, performance-focused example for learners and contributors.