Back to @sarah-chen
Skills-become-ai-engineer
Self-reportedAuthor's own account
Contributed CUDA kernel optimization reducing inference latency by 34%
Found a warp divergence issue in the attention mechanism. Restructured the memory access pattern to be coalesced. The perf jump was immediate and reproducible across hardware.
Endorsed by
Trust chain
No endorsements yet — be the first to verify this.
Verification criteria
To reach Peer-endorsed:
- At least 1 peer has personally verified this work from first-hand knowledge
powstik.com/sarah-chen/p/13a732