February 2026 monthly summary focused on performance optimization and stability for long-context processing in two Gaudi-enabled VLLM repos. Delivered edge-bucket strategies that simplify and stabilize bucketing for long contexts, aligning across repos and reducing risk of OOM and regressions.

January 2026: Delivered Chunked Attention for Long Sequences in HPU for vllm-gaudi, enabling longer-context processing with better performance and scalability on Gaudi hardware. Implemented chunked attention metadata and bias-management logic and integrated via a cherry-picked patch adapted to recent changes (commit 7e97f2259667303557b39776fb6e817af2b18d7a) in line with PR 526. No major bugs were reported this month; the focus was on delivering a robust feature with clear business value, improved throughput for long-sequence workloads, and better resource utilization. Demonstrates expertise in HPC attention modeling, Gaudi/HW optimization, and patch-based integration across repositories.