Hi,
I’m Hui Yao
> Creative AI Product Builder
My internship experience has centered on agent interaction strategies, model evaluation, and data analysis.
AT POIZON
I worked on the scenario strategy and conversational experience of an AI shopping assistant. By introducing scenario-based multi-turn guidance and more human-centered conversation strategies, I helped improve AI adoption and product exposure.
At Zhihuishu, I contributed to an AI knowledge-base product by building workflows for knowledge production and quality evaluation.
My interdisciplinary background in design and data analysis helps me understand how users interact with AI while validating product strategies through experiments and data.
Experience
# Education
# Internship Experience
Agent Operations Platform
Own the development and iteration of Shuling’s internal operations platform. Integrate query data across Agent versions and business domains, and design AI tagging to assess whether answers meet expectations. Daily Feishu cards bring operations, product, engineering and evaluation teams together to resolve high-priority issues, supporting Agent iteration with shared data and workflows.
Agent System & Domain Skills
Clarify dashboard metric definitions against business needs and iterate Shuling’s system and domain Skills. Design evaluation criteria and datasets to improve answer quality and drive product adoption.
Intent Recognition & Conversation Strategy
Built scenario-based, multi-turn guidance for an AI shopping assistant. Defined four stages of user intent to guide follow-up questions, explanations, recommendations and conversion, addressing unfocused recommendations and incomplete shopping journeys. Raised AI adoption by 4.47% and product-card exposure by 44.85% (relative gains).
Agent Tuning & Evaluation
Independently designed four Agent personas and System Prompts, alongside an evaluation framework covering adoption, decision-making, interaction and recommendation. Increased overall AI adoption from 18.38% to 21.66%; decision-adoption UV and interaction-adoption UV improved by 3.38% and 1.50%, respectively (relative gains). Analyzed bad cases and user behavior to guide further iteration.
Reusable Skills for Data Analysis
Packaged data retrieval and analysis into reusable Skills for an internal Agent. Automated metric monitoring, change-point analysis and weekly reporting, saving each team member about 2.5 hours per week and improving routine analysis and experiment reviews.
Multi-model Production & Evaluation
Designed an automated medical knowledge-card pipeline and quality evaluation framework to address gaps in long-form generation and duplicate references. Coordinated models across parsing, generation, evidence verification and database ingestion, achieving a 97.8% ingestion acceptance rate. Analyzed 8,000+ bad cases and built an evaluation dataset based on the evidence-based medicine hierarchy to support production at scale.
User Research & Product Prototyping
Researched domestic and international competitors to clarify positioning, audiences, use cases and business models for an AI knowledge base. Developed product directions for education and professional knowledge services, and completed three web-prototype iterations across conversational and detail pages to inform feature planning and commercialization.
# Project Experience
# Entrepreneurial Experience
Built an education services brand from the ground up for students pursuing recommendation-based graduate admission in China. Designed segmented offerings, tiered pricing, and delivery SOPs, transforming individual expertise into scalable courses and mentoring services. Achieved organic customer acquisition and paid conversion through WeChat, Xiaohongshu, and private communities, growing 1.6K+ followers, generating 50K+ likes and saves, and reaching RMB 300K+ in revenue.
# Honors Received
Gold Prize, Ecological Health and Sustainability Track, 12th Asian Design Award for Students
First Prize, 13th National Green Building Design Competition
National Second Prize, 7th Milan Design Week National College Outstanding Works Exhibition
Outstanding Work Award, 12th Annual Exhibition of Chinese College Artworks
Excellence Award, 12th National Green Building Design Competition
2023 National College Student Innovation Training Project Lead (Selection Rate: 4.54%)
Langji Global Talent Scholarship (2025)
Academic Excellence Scholarship (2021)
First Prize, Asia-Pacific Region, Global Sustainable Development Challenge
Track TOP1, FourC Challenge 24h Design Challenge
Team Leader, SJTU Global Challenge Program
Bronze Award, 4th Hong Kong Contemporary Design Awards
Outstanding Communist Youth League Member, University Level (2022, 2023)
Third Prize, University-level Innovation and Entrepreneurship Training Program (2022)
Third Prize, University-level Energy Conservation and Emission Reduction Competition (2023)
01.
Urban Wildlife Return PlanNational Innovation Training Project
02.
AI-Driven Emotional Eating Companion SystemFood Sustainability Track TOP1
03.
Emotional JournalMeituan AI Coding Project
plasticwastedata.org
04.
Southeast Asia Plastic Waste ExplorerIndependent Research Project
01 / 04National Innovation Training Project
Urban Wildlife Return Plan
Project Leader02 / 04Food Sustainability Track TOP1
AI-Driven Emotional Eating Companion System
Core memberIndependently built the product demoPREPARING INTERACTIVE DEMO…
03 / 04Meituan AI Coding Project
Emotional Journal
Product design · Development · DeploymentPREPARING INTERACTIVE DEMO…
04 / 04Independent Research Project
Southeast Asia Plastic Waste Explorer
Research · Data modelling · VisualizationNational Innovation Training Project
Urban Wildlife Return Plan
Project Leader01 / 10Beijing opening
Food Sustainability Track TOP1
AI-Driven Emotional Eating Companion System
Core memberIndependently built the product demo美团 AI CODING 笔试命题
美团笔试命题【情绪日记】
独立完成产品设计、开发与部署从觉察情绪,到完成一个关怀自己的行动
一款移动端优先的情绪日记产品,帮助用户记录情绪强度、触发因素与身体信号。HiHi 会梳理事件—想法—感受链路,并推荐呼吸、音乐或轻运动等低压力调节方式,同时保持明确的隐私与非诊断边界。
- 01
情绪记录与触发因素分析
- 02
个性化自我关怀方案推荐
- 03
日记时间线与七日情绪趋势
Independent Research Project
Southeast Asia Plastic Waste Explorer
Research · Data modelling · VisualizationFollowing plastic waste across Southeast Asia.
An evidence-led explorer tracing plastic-waste flows across ASEAN-10. It connects 2014–2024 bilateral trade data with 2022 source attribution and CSP-MFA v12.1, linking routes, polymer composition, material pathways, and impacts while keeping observed, estimated, and modelled evidence distinct.
- 01
2014–2024 bilateral trade routes
- 02
2022 source & composition attribution
- 03
CSP-MFA v12.1 flows & impacts
EXPLORE THE DATA↗
05 PHOTOGRAPHY
Fragments in Transit
A photographic notebook of places, weather, architecture, and moments in between.
ITALY
“Thence we came forth to rebehold the stars.”
0120
Preparing the photographs…
LET’S CONNECT
I’m always open to conversations about AI products, research
collaborations, and new opportunities.
Get in Touch
- Phone
- +86 187 0169 9121
- +86 133 7325 2269 ↗
- Location
- Shanghai
Find Me Online
- Xiaohongshu
- 675 ↗
- 675hyyy
- Hui Yao ↗
- GitHub
- HuiYaoooo ↗
Let’s build thoughtful AI products together!





