Experience
Apr 2026 -
Present
Apple, Cupertino, CA
Technical Program Management
• Led cross-functional execution of a multilingual AI data collection program spanning 500K+ ML assets, 150+ batches, and 2 external vendors; managed priorities, dependencies, QA capacity, and quality risks to support engineering development.
• Drove day-to-day execution through daily vendor reviews and weekly leadership updates, tracking milestones, surfacing blockers, and aligning cross functional teams on QA protocol changes to mitigate delivery risks.
• Reconciled 350K+ asset records across vendor sources, QA records, and batch reports within one month, providing stakeholders with a validated view of program health.
• Reduced manual QA review volume by 30% by identifying duplicate vendor assets as a recurring bottleneck and partnering with a cross-regional technical team to implement an LLM-powered deduplication workflow.
• Conducted 100+ user research sessions, including Wizard-of-Oz studies, usability tests and Voice-of-Customer interviews to surface gap between current products and user needs.
• Owned end-to-end operations for multilingual user studies, partnering with engineering teams and external vendors to coordinate scheduling, configure environments, and validate data for completeness and accuracy.
AI Data Operations & User Research
• Led the 0-to-1 development of PMA Apply, an AI-powered job application agent, owning product strategy, MVP scoping, PRDs, success metrics, and end-to-end UI/UX design.
• Partnered with engineering to architect the AI application workflow, integrating document parsing, a structured user-profile database, LLM orchestration, browser automation, and human-in-the-loop guardrails to ground generated responses and improve workflow reliability.
AI Product Manager
Launching Soon...
Jul 2026 -
Present
PMA,
Remote
Aug 2025 -
Mar 2026
EchoLab,
SF,
CA
AI Product Manager,
link to the project
• Led 0-to-1 development of a GenAI-powered A/B hypothesis generation platform from concept to MVP in 4 months, reducing experiment setup time by 85% and increase experimentation capacity by 5×.
• Defined product requirements for an agentic AI workflow, including the RAG architecture, data pipeline, LLM prompting strategies, AI evaluation framework, and success metrics in partnership with AI engineers.
• Conducted Voice-of-Customer interviews with 10 early adopters, authored PRDs, identified experimentation workflow pain points, and evaluated market opportunities to shape product strategy.
• Defined the product roadmap by synthesizing customer feedback and market research to prioritize features.
Jun 2024 -
Aug 2024
211 LA,
Los Angeles, CA
Product Manager / MLE Intern,
link to the project
• Led delivery of an MVP conversational AI referral assistant for Los Angeles County residents, reducing call handling time by 32% and increasing caller satisfaction by 11%.
• Designed a Retrieval-Augmented Generation (RAG) pipeline with human-in-the-loop review and AI guardrails, reducing hallucinations while improving recommendation relevance and regulatory compliance.
• Defined product requirements and success metrics by partnering with stakeholders to translate referral workflows into conversational AI capabilities, balancing automation, compliance, and user trust.
• Developed evaluation metrics and feedback loops to assess response quality and continuously improve conversational AI performance through prompt refinement and model fine-tuning.
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
Skills
& Expertise
Product Management:
Product Strategy, Product Design, PRDs, Discovery & User Research, A/B
Testing, Experiment Design, Feature Prioritization, Agile, GTM, Roadmapping, Stakeholder Communication, Product Storytelling, Jira/Linear/Notion
Project Management & Business: Technical Program Management, Scoping, Roadmapping, Prioritization, Risk Management, Resource Planning, SDLC, Agile Delivery, Cross-functional collaboration
Technical:
RAG, Agentic AI workflow, LLM, Generative AI, Prompt Engineering, AI Evaluation, HITL, ML Ops, Prototyping, Machine Learning, Data Visualization, Data pipeline, Cloud (AWS/GCP), Databases, Python, SQL, Git