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dezhou chen
Mid-level AI Engineer specializing in LLM systems and GenAI products
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About
AI-focused product engineer working on LLM routing, prompt engineering, and multimodal API integrations at production scale. They describe improving system accuracy, latency, and token usage, fine-tuning an internal model to reduce third-party API dependence, and adding safety guardrails through prompt-injection testing and red-team evaluation.
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Key Strengths
- LLM routing and prompt-engineering optimization
- A/B testing for production reliability
- Debugging AI systems with structured, step-by-step workflows
- Fine-tuned SOTA model for internal use under a two-week deadline
- Reduced external API dependency by deploying a fine-tuned internal model
- Built reusable multimodal API patterns for high-volume image/text usage
- AI application safety focus through prompt-injection defense and red-team evaluation
- Performance focus on accuracy and latency
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