Zhenhuan Gao
Software Engineer at Aptos Labs
“Jellyfish Merkle Architect”
Zhenhuan Gao's AI skills, scored on evidence
Nine AI capabilities, each rated 0–10 from public professional signals with the reason behind the rating.
No direct AI evidence, but as a modern SDE you likely use ChatGPT/Claude for coding or writing.
No reusable prompts or custom GPTs visible; your blockchain focus doesn't demand prompt engineering.
No web/mobile prototypes in sight; Aptos is backend infrastructure, not a vibe-coding stack.
No LLM API integrations in your projects; blockchain storage optimization doesn't call for it.
Zero agentic patterns or tool calling; your work is deep in state tries, not autonomous workflows.
No AI features shipped to end users; Aptos is a blockchain, not an AI product.
No fine-tuning, LoRA, or embeddings; your customizations live in Merkle tree optimizations, not models.
No vector DBs, inference serving, or LLMOps; you scale layer‑1 chains, not GPU clusters.
Your research (JMT, latency) is blockchain, not AI; no RLHF, novel architectures, or AI benchmarks.
Where Zhenhuan has worked
See everyone else we have scored at Aptos, Diemassociation, Meta.
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