Wenjing Tian · Portfolio
I connect AI capabilities, reliable data, and product decisions to build useful products—from shopping agents and enterprise review workflows to carbon data platforms.
Featured projects
Shopping Copilot, Enterprise AI Smart Auditing, and Carbon Data Governance anchor my work. Each case connects a user problem to the data, system choices, and evaluation needed to solve it. Engineering and research extend that foundation.
Project library
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Experience
I have worked across enterprise AI, carbon data, marketing analytics, and web experience—translating domain workflows into systems people can use.
AI Agent Development & Data Governance Intern
Designed a three-stage Multi-Agent review workflow, structured a RAG knowledge base, and paired rule-based validation with human review. Also developed data standards, location extraction, and BI prototypes for carbon-reduction project data.
Marketing & Web Design Intern
Analyzed the lead-generation journey, redesigned contact flows, and supported SEO and landing-page experiments through competitor and user-behavior research.
Data Analyst Intern
Cleaned and analyzed creator, engagement, and campaign data to support creator profiling, selection, and marketing performance decisions.
Research
My Cognitive Science and Digital Humanities background informs how I evaluate AI experiences: define variables, examine user behavior, and turn findings into product questions worth testing.
A 2 × 2 within-subjects study separating image-origin and label effects across immediate and delayed recognition.
Open research case ↗ Behavioral ResearchFrom observed behavior to statistical comparison and cautious interpretation.
Open research case ↗ Computational LinguisticsLexical distance, clustering, and visualization reveal linguistic relationships across regions.
Open research case ↗About
I am Wenjing Tian, an MSc Information Systems student at Nanyang Technological University and a UCLA Cognitive Science graduate with a Digital Humanities minor.
I work at the intersection of AI, Data, and Product: identifying user needs, structuring reliable data, designing AI workflows, and evaluating their usefulness. My UX, Engineering, and Research experience helps me prototype ideas and test product decisions. I am focused on AI Product, Data Product, and Product Analytics roles.
Resume
Open to early-career AI Product, Data Product, and Product Analytics opportunities in Singapore and China.