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Shijie Sun

Junior Machine Learning Researcher specializing in AI agents and materials modeling

Pinetree HealthUniversity of Illinois Urbana-ChampaignChampaign, IL4 Years ExperienceJunior LevelWorks On-Site

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About

Built and shipped a production browser automation LLM agent with a structured 4-stage workflow (plan/browse/extract/verify), emphasizing reliability via schema validation (Pydantic), constrained tool use, and contextual retry loops. Reports ~60% accuracy on the WebArena benchmark and monitors runs via console output and the Agno framework GUI, prioritizing accuracy over speed.

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Key Strengths

  • Shipped a production browser-use LLM agent with exception handling and contextual retries
  • Designed a 4-step agent workflow (plan → browse → extraction → verification) with per-step prompts, tools, and schemas
  • Uses strict schema validation (Pydantic) to avoid trusting raw LLM outputs
  • Constrained toolset and max-step budgets to improve predictability and safety
  • Achieved ~60% accuracy on WebArena benchmark (SOTA claim)
  • Implemented verification-driven feedback loop that improves planning after failures

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Experience

AI Agent Software Engineering InternPinetree Health · May 2025 – Aug 2025internship
Machine Learning Interatomic Potential Research AssistantLaboratory of Advanced Multiscale Material Innovation · Jan 2022 – Present

Education

University of Illinois Urbana-Champaigndoctorate, Industrial Engineering (2026)

Languages

English

Publications

2 publications

Machine learning interatomic potentialsMolecular dynamics simulationAtomistic simulations of 2D materials (graphene) with defectsThermal and mechanical properties of materials

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Typically responds within 24 hours

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Hire with Reval

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Shijie SunJunior Machine Learning Researcher specializing in AI agents and materials modeling