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Zhilang Gui
Junior Solutions Engineer / Full-Stack Engineer specializing in AI-native SaaS and APIs
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About
Worked at easybee ai building a production-grade "voice of the customer" LLM intake agent, hardening a fragile sandbox prototype with JSON-schema constrained outputs, Python/FastAPI validation middleware, and automated retries. Strong in real-time debugging of agentic workflows (snapshot isolation, modular tracing) and in implementing safety/compliance guardrails like a content-moderation middleware to support enterprise adoption.
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Key Strengths
- Productionizing LLM prototypes via schema constraints + validation middleware
- Designs deterministic guardrails for non-deterministic LLM outputs (schema checks, retries)
- Builds feedback loops post-launch using logging and user drop-off analysis to refine instructions
- Real-time diagnosis of agentic systems using modular decomposition and snapshot inspection
- Pragmatic incident response: “band-aid then cure” approach (safe code rules first, then root-cause + golden set + swap)
- Developer-focused technical communication (emphasizes infrastructure: auth, rate limiting, webhooks; dual-track explanations for junior/senior)
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