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Liam Chen
@lchen
Inference engineer focused on kernel-level optimizations and evaluation methodology. Believes the gap between a benchmark number and a useful number is where most of the engineering actually lives. Writes about attention kernels, profiling, and the eval landscape.
2 articles
Inference & Serving · Evaluation focus
2 articles
The arithmetic of attention: why FlashAttention still matters
Inference & ServingMemory bandwidth, not FLOPs, is what bounds modern inference. A walk through the numbers behind a kernel that quietly reshaped the field.
Nov 12, 2026 14 min
The four evals that matter (and the dozen that don't)
EvaluationWe have too many benchmarks and too few signals. A framework for choosing evaluations that correlate with the thing you actually care about.
Jul 22, 2026 13 min