Education
2023 - 2025
University of Southern California
MS in Computer Science - Applied Data Science
2019 - 2023
Shanghai Jiao Tong University
BS in Electrical and Computer Engineering
Minors: Data Science, Entrepreneurship
Honors: 1st class Outstanding Scholarship, Academic Progress Scholarship
Experience
Aug 2025 -
Present
AI Product Manager,
EchoLab, San Francisco, CA
link to the project
Achievements
• Launched a generative AI-powered A/B testing hypothesis generator in four months, reducing support tickets review time by 85% and enabling 5x more experiments annually.
• Co-authored an e-book and LinkedIn content series on RAG/prompting and Large Language Model (LLM) applications, contributing to the go-to-market (GTM) strategy while driving top-of-funnel engagement.
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Responsibilities
• Led a cross-functional team of 16 (AI engineers, designers, and PMs) to resolve blockers and align priorities; defined measurable milestones, acceptance criteria, and guardrails that sustained delivery velocity and product quality.
• Partnered with AI engineers to fine-tune LLMs and design hallucination detection mechanisms, improving model accuracy, reliability, and overall performance from selection to deployment.
• Designed cloud-based data schemas for stable information retrieval, enabling bidirectional access while maintaining a high-performing and cost-optimized database structure.
• Defined and executed the go-to-market (GTM) strategy by targeting and educating top-of-funnel customers, establishing strategic partnerships, and pitching the product at industry events to gather feedback and drive adoption.
Jun 2024 -
Aug 2024
Product Manager / MLE Intern,
211 LA, Los Angeles, CA
link to the project
Achievements
• Drove 0 to 1 to launch a web-based AI chatbot minimum viable product (MVP), converting structured data into conversational guidance to deliver personalized resources to customers.
• Boosted North Star Metrics (NSM) by reducing handling time by 32% and increasing customer satisfaction by 11%.
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Responsibilities
• Collaborated with a cross-functional Agile team of 12 (ML/DS, UX, referral specialists), owning the end-to-end roadmap for a referral chatbot leveraging conversational AI and LLMs to connect residents to social services faster.
• Defined product vision for delivering fast, personalized, and access to critical social services via conversational AI.
• Conducted Voice-of-Customer (VOC) interviews and analyzed call recordings to identify customer pain points for both callers and agents, uncovering automation opportunities and workflow gaps.
• Designed an end-to-end data ecosystem — spanning ingestion, engineering, quality, and orchestration — to build a governed knowledge base of anonymized case files with LLM-generated tags, improving retrieval precision.
• Established an ML/AI evaluation framework to ensure model reliability and safety in production.
Skills
& Expertise
Product Management & Business:
A/B Testing, Agile, Cross-functional Leadership, Road-mapping, GTM, Stakeholder Communication, Product Storytelling, Jira/Linear/Notion
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Technical:
Python, SQL, C++, Cloud (AWS/GCP), Databases, Git, Machine Learning, Deep Learning, Statistical Analysis, Data Visualization (Tableau/Power BI), Large Language Models (LLMs), Prompt Engineering, AI Eval