Part of the Managed Detection and Response (MDR) team for Mac Endpoint

• Used C/C++ to implement new algorithm on a firmware level for new video codec algorithm for hardware video encoder.• Utilized Git and Jira to maintain versioning and ticket handling for CI/CD development• Supervise and tested new algorithms by using Test driven development and handling team's regression testings.• Designed test automation scripts using Python in Linux and deployed using Docker • Created distributed filesystem cluster by deploying ceph and fuse, speeding up testing process and test lifecycle for the company.• Produced Design documentation for presenting newly developed video codec algorithms using confluence.

• Enhanced the development, design, and optimization of cutting-edge codecs through active participation and contribution.• Implemented a highly efficient and scalable distributed infrastructure system for parallel processing of large-scale projects, integrating Slurm and Ceph clustering technologies.• Worked closely with the development team to create next-generation cloud-based encoding solutions for cloud gaming and transcoding.• Conducted thorough subjective unit and integration evaluation testing on various codecs using PSNR, SSIM, and VMAF benchmarking tools and scripting the results.• Optimized the Motion Estimation Engine, laying a solid foundation for future development of encoder chips and ensuring their optimal performance.