Worked on enhancing the InRange kernel in the opencv/opencv repository by implementing Universal Intrinsics SIMD support across multiple data types and channel configurations. Focused on C++ programming and image processing, the work involved migrating from the legacy CV_SIMD128 path to the modern CV_SIMD API, which improved hardware compatibility and code maintainability. Extended performance tests were developed to validate throughput improvements for all supported type and channel combinations. Additionally, a longstanding TODO from 2018 was addressed by completing the SIMD-based implementation in gapi/fluid, demonstrating a methodical approach to performance optimization and technical debt resolution within the codebase.