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, agentic AI, and Large Language Model (LLM) applications, contributing to the GTM strategy while driving top-of-funnel engagement.
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Responsibilities
• Led a cross-functional team of 16 (AI engineers, designers, PMs) to resolve blockers, align priorities, and deliver measurable milestones across the end-to-end AI product lifecycle.
• Partnered with AI engineers to drive functional LLM fine-tuning through prompt engineering and human-in-the-loop (HITL) evaluation pipelines; designed success metrics, iterative improvement loops, and AI evaluation frameworks to enhance accuracy, reliability, and overall model performance.
• Defined product vision, roadmap, and prioritization strategy by synthesizing customer feedback and industry trends; guided MVP development to drive fast learning cycles and alignment with user needs.
• Executed GTM strategy by targeting top-of-funnel customers, creating product education contents, and building strategic partnerships to gather feedback, validate use cases, and drive adoption.
Jun 2024 -
Aug 2024
Product Manager / MLE Intern,
211 LA, Los Angeles, CA
link to the project
Achievements
• Delivered a 0 to 1 web-based AI referral support system (MVP), later scaled into a county-wide product used daily by hundreds of employees and accessible to all Los Angeles County residents.
• Boosted North Star Metrics (NSM) by reducing handling time by 32% and increasing customer satisfaction by 11%.
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Responsibilities
• Designed real-time employee-AI collaboration workflows, including AI-assisted profile generation, guided decision flows, compliance-sensitive recommendations, and human-in-the-loop handoffs, to enable agents to deliver faster, more accurate, and improve caller satisfaction.
• Analyzed service data using Tableau and Python to surface key demographic patterns and inform prioritization; conducted Voice-of-Customer (VOC) interviews and call-flow analysis to identify user pain points, uncover automation opportunities, and shape AI use cases.
• 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.
• Collaborated with engineers, referral specialists, and call agents on content engineering (tune knowledge algorithms, refine internal taxonomy), and design evaluation methods to enable rapid iteration and improvement.
Skills
& Expertise
Product Management & Business:
A/B Testing, Experiment Design, Agile, Cross-functional Leadership, Roadmapping, GTM, Stakeholder Communication, Product Storytelling, Jira/Linear/Notion, User Research (VOC)
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Technical:
Prompt Engineering, Content Engineering, AI Evaluation, Agentic AI Workflows, Prototyping, Large Language Models (LLMs), Machine Learning, Statistical Analysis, Data Visualization, Cloud (AWS/GCP), Databases, Python, SQL, Git