CV
孙圣尧 (Sun Shengyao)
Incoming second-year undergraduate · LLM & software-agent evaluation · interested in embodied intelligence & robotics
Education | 教育背景
- B.Eng. in Engineering, Shanghai Jiao Tong University（上海交通大学）， 2025 – Present
- Paris Elite Institute of Technology (SPEIT)（巴黎卓越工程师学院）
- French engineering curriculum: mathematics, physics, and computer science
Areas of Interest | 兴趣领域
- Large language models（大语言模型）
- Embodied intelligence and robotics（具身智能与机器人学）
- Mechanical systems（机械）
Skills | 技能
- Python — basic working proficiency（具备基础实用能力）
- AI-native workflows — comfortable driving AI-assisted research and engineering workflows（AI 原生工作流）
- French — early B1（法语初级 B1 水平）
- English — CET-4, 646/710 (2025)（大学英语四级，646 分）
Projects | 项目
- Ambiguous Tool Outcomes Benchmark — counterfactual benchmark for LLM agent recovery from ambiguous tool outcomes
- Side-Effect Calibration Study — mutation testing of task-scoped state oracles in software-agent benchmarks
- Schema Order Robustness — reproducible study of JSON Schema serialization-order robustness in black-box LLM generation
Other Projects | 其他项目
- VEX Robotics Programming — VEX V5 robot control code; served as team lead programmer and driver, won 2nd Prize at 2025 SJTU campus competition
- Snowbound School Mystery（雪闭校园） — Ren’Py suspense visual novel with 3 branching routes; play online