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jiawei Li
Intern Applied Scientist specializing in LLM agents for software engineering
Applied Scientist Intern0 years experienceInternTechnologyArtificial IntelligenceSoftware Engineering
ScreenedIdentity Verified
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About
Applied Scientist intern at Amazon who built a production-adopted LLM-judge to evaluate an agentic chatbot’s intermediate reasoning and tool calls using a knowledge-graph grounding approach. Also published award-winning work (ACM SIGSOFT Distinguished Paper) using LangChain + GPT-4 tools to generate factually grounded commit messages, with rigorous human-centered evaluation metrics.
Experience
Applied Scientist InternAmazon Inc.
Education
University of California, Irvinedoctorate, Software Engineering (2026)
University of California, Irvinemaster, Computer Science (2020)
Xi’an Jiaotong Universitybachelor, Software Engineering (2019)
Key Strengths
- Built and deployed an LLM-judge system adopted by Amazon team for periodic chatbot evaluation
- Knowledge-graph-based validation of intermediate reasoning steps and tool calls for agentic chatbots
- Designed heuristic for query ambiguity using LLM confidence; validated via correlation analysis with human experts
- Hands-on orchestration experience (LangChain/LangGraph/AutoGen) for LLM agents and multi-agent systems
- ACM SIGSOFT Distinguished Paper Award for LangChain-based GPT-4 tool-using commit message generation
- Strong evaluation mindset: combines human metrics, factual grounding checks, and latency/LLM-call cost considerations
- Effective communication with non-technical stakeholders using latency data and concrete LLM output examples
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