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Kaiqi Zhang
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications
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About
ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.
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Key Strengths
- Owned end-to-end production ML/LLM systems from experimentation through deployment and monitoring
- Deep expertise in grounded RAG for high-stakes search and question answering
- Strong evaluation mindset across offline benchmarks, online metrics, and user feedback
- Balances latency, cost, quality, and safety tradeoffs in production AI systems
- Built reusable Python service components that improved team velocity and consistency
- Designed robust fallback and validation mechanisms to reduce hallucinations and weak outputs
- Experience in both clinical search and ads recommendation/summarization domains
- Production engineering discipline with containerized services, CI/CD, controlled rollout, and standardized observability
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