Automates the full lifecycle of migrating and optimizing AI models for Huawei Ascend NPUs: environment setup, code analysis and adaptation, operator development (AscendC/Triton), distributed training with MindSpeed/Megatron, performance profiling and tuning, precision verification, and deployment as vLLM inference services.

Automate end-to-end ML performance investigations: research SOTA papers and architectures, generate phased plans, judge experimental methodologies, profile bottlenecks, run metric-improvement campaigns with atomic git commits, auto-rollback on regressions, and leverage specialist agents for data lifecycle and deep paper analysis.

Orchestrate an end-to-end academic research workflow inside Claude Code: from literature search and citation verification, through figure design and code-backed implementation, to manuscript drafting, revision, and rebuttal letter assembly — all coordinated by a supervisor agent that tracks bottlenecks and safety gates.

Guardrail your AI/ML research workflow with an AI collaborator that searches literature using query variations, analyzes codebases and logs, designs minimal falsification experiments, records predictions, and audits bugs.

Delegate expert-level AI/ML workflows to specialized agents: engineer optimized prompts with evaluation and A/B testing, architect scalable LLM systems with RAG/LoRA fine-tuning, build production NLP pipelines for NER/classification/QA, and deploy optimized models via vLLM/Triton/Docker/K8s for reliability, performance, and cost control.

Apply 97 structured reasoning patterns from history's greatest thinkers to any problem — debug, design, research, or write — using specialized agents that analyze, critique, and synthesize across domains.