
Worked on the intel-ipsec-mb repository to enhance AES-CFB decryption performance and maintainability using Assembly and SSE intrinsics. Delivered a parallelized decryption path that processes up to eight blocks concurrently, increasing throughput and reducing latency for encrypted IPsec workloads. Focused on low-level optimization and vectorization to improve CPU efficiency while preserving API compatibility and integration with existing tests. Subsequently refactored the AES_CFB_DEC parallel processing logic, consolidating input checks to reduce code duplication and improve readability. Emphasized maintainable, scalable assembly code, laying a foundation for future optimizations and facilitating easier onboarding for engineers working on cryptographic data paths.
September 2025: Intel IPsec MB focused on refactoring and maintainability of the AES_CFB_DEC parallel path, delivering a clean, scalable foundation for future optimizations.
September 2025: Intel IPsec MB focused on refactoring and maintainability of the AES_CFB_DEC parallel path, delivering a clean, scalable foundation for future optimizations.
Performance-focused month for 2025-08: Delivered an SSE-based parallelization enhancement for AES-CFB decryption in intel-ipsec-mb, enabling up to 8 blocks concurrently and improving data-plane throughput for encrypted IPsec workloads. No major bugs were reported this month; stability was maintained as part of the feature delivery. The work demonstrates strong crypto optimization, vectorization, and performance tuning under real-world IPsec workloads, delivering business value through higher throughput, lower latency, and improved CPU efficiency.
Performance-focused month for 2025-08: Delivered an SSE-based parallelization enhancement for AES-CFB decryption in intel-ipsec-mb, enabling up to 8 blocks concurrently and improving data-plane throughput for encrypted IPsec workloads. No major bugs were reported this month; stability was maintained as part of the feature delivery. The work demonstrates strong crypto optimization, vectorization, and performance tuning under real-world IPsec workloads, delivering business value through higher throughput, lower latency, and improved CPU efficiency.

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