Steve2457

Helps the agent draft high-quality conference rebuttals and final responses for ML/CS papers by analyzing reviews, classifying reviewer types, planning experiments, and generating polite, persuasive, AC-oriented replies. Use when the user is preparing rebuttals or responses to reviewers with provided reviews and scores.

Write and operate robust, reusable experiment runner scripts (Bash) for ML/data pipelines: config-driven runs, GPU sharding, CPU fallback, structured logs, checkpoint/resume, and post-processing chaining. Use when the user asks how to run a project efficiently via scripts, or asks you to create/standardize run scripts.