05 · About
Build the smallest system that exposes the real failure mode
Build, test, and revise AI/data systems around concrete failure cases
Current direction
The work is moving toward AI/Data Systems Engineering: RAG evaluation, model-facing research tools, low-level inference benchmarking, decision optimization, and MLOps/data-quality layers
Existing repos stay visible when they show release discipline. New work must add harder technical context: benchmarks, design trade-offs, reproducible runs, and failure cases