Building AI characters

I lead teams to grow Reels adoption, consumption, and retention. In three year, we grew Reels' user base by 20X, from 50 million DAU to >1 billion DAU. My focus now is to build Meta's Video LLM, to bring Video Understanding and GenAI to FB Video.

I lead product development for two product team, focusing on pricing, user acquisition, user activation, and booking flow ranking & conversions. My two teams are consist of 15+ product & ML engineers, 2 designers, 3 data analysts, and 2 data scientists, and 2 QAs. I also partner up with 8+ marketing channel managers to drive both organic and paid traffic into our product. These channels include SEM, SEO, ASO, Affiliate, Social, PR, Referrals, etc.

• Strategized 100+ product experiments and enabled 8+ marketing channels to drive booking• Doubled client app's end-to-end booking conversion rate in 1.5 years• Generated and tuned Value score and Quality score with ML teams to match clients w/ taskers• Grew same-day bookings from 0% to 23% of our overall bookings across 20+ metros• Increased site traffic by 30%+ with landing page optimization, and SEO & SEM improvement• Optimized app store rating from 2.5 -> 4.9, raised app store category ranking to Top 100• Led strategy to define OKRs, product roadmaps and vision for 12+ consecutive quarters• Delivered new user onboarding experience to drive new user acquisition and activation• Supported marketing in 8+ user acquisition channels: SEM, SEO, Paid Social, PR, Affiliate, etc.

• Product lead for supply side of marketplace, developed product roadmap and vision, delivered features to improve user experience on iOS & Android App, Mobile & Desktop Web• Revamped tasker app's information architecture and improved engagement by 10%+• Productized pricing and ranking recommendation algorithm, and achieved 70% user adoption• Implemented background check tools that verified tens of thousands of independent contractors• Aligned cross-functional stakeholders’ expectations on product tradeoffs and prioritization

Provided consulting service to 5 clients for their product and growth strategies:Client: Apptuto, an education mobile application▸ Led a team of 5 product designers and engineers to resolve usability issues and adapt new designs- Prioritized problems and features based on expected revenue impact, effort, and probability of success- Mocked up 30+ wireframes and 40+ high-fidelity screens with a team of 5 designers and engineers- Synthesized feedbacks from 20+ user interviews and usability testing to define and validate featuresClient: Praiseworthy, a customer feedback software▸ Led a team of 5 growth marketers and designers to optimize conversion rate to drive revenue growth - Researched competitors, customer persona, and marketing channels to develop go-to-market strategy - Optimized the email and product conversion rate by redesigning call-to-actions on web and mobile - Analyzed customer dataset (SQL, Excel) and recommended new features based on findingsClient: Pie.Video, a social media application▸ Developed product launch campaign, and promoted product to 2nd place on Product Hunt during launch- Collaborated with designers to establish new landing page to promote product launch campaign- Led team of growth marketers to strategize and growth hack social media channels to acquire site visitorsClient: Feastly, an online marketplace that connect chefs and easters▸ Established drip email marketing campaign and redesigned landing page CTA- Achieved 40% open rate, 5X increase in CTR on outbound emails- Achieved 470% increase in newsletter signup through A/B-tested design changesClient: Glifft, an online gifting service▸ Provided SEO audit on company landing page and mobile app

Little Taro is your personal chef who delivers authentic ethnic cuisines to students and professionals who struggles to find regional homemade food from local restaurants. I was in charge of product development, financials, and operationsProduct and Growth• Grew the 3-sided food marketplace startup from $0 to $200K in one year given only $10K • Developed cohort analysis model (Excel) to monitor retention rate and churn rate, and introduced buyer incentive program to reduce second week churn rate by 35%• Conducted user research and delivered solutions to address pain points, achieved 70% 2nd week retention• Collaborated with engineers and designers to develop new features on iOS and Web interfaceFinance• Created financial projections model and unit economics model (Excel) to measure LTV, CAC, P&L, etc.Operation• Oversaw product development of a FoodTech business from idea to product-market-fit to growth• Coordinated delivery logistics and restaurant operations, for 400 food orders per week, $200K a year• Defined product vision and strategy, and implemented lean methodology

Data Analytics Rotation Program is a 2 years program, where candidates take on a new analytics role every 6 month. During my time there, I worked in Investment HR analytics, and Commercial Claims Advanced Analytics.• Structured business specs to pitch predictive modeling opportunities to data scientists• Assisted data scientists to structure and clean up data (SQL, SAS)• Managed communication between data scientists and major project stakeholders

• Built lean management tools to measure and optimize operations (ex.huddle board, hiring metrics) • Built excel models to measure the efficiency of recruiters and effectiveness of their candidates

Squirrel is a EdTech company that make transferring college credits easy.• Built financial projections and analyzed unit economics to predict cash flows and income• Pitched the company to angel investors and raised 100K in funding

GMO is a $40 billion hedge fund located in Boston, with Jeremy Grantham serving as Chief Investment Officer. • Resolved 100+ discrepancies daily in funds’ cash, positions, and dividends to accurately reflect net asset values of approximately $4.2 billion, using Bloomberg Terminal, SimCorp, and FMC• Facilitated dividend reinvestment process to eliminate commission fees for hundreds of positions held• Created an excel macro to categorize fund expenses and aid in the transfer of expense information across different accounting systems, saving the reconciliation team approximately 30 minutes per day

• Managed derivatives trade activities and margin movements between Morgan Stanley and State Street, average volume conducted reached $5 million per day• Researched discrepancies in OTC derivatives margin calls; avoided potential false wire transfers of $500K+• Collaborated with 5+ prime brokers to recall excess securities on over-collateralized positions; maintained sufficient cash and treasury securities in reserve to hedge against volatility of derivative positions

• Analyzed how cost drivers distinguish between C&S and Stop & Shop for transportation fees; assisted in providing recommendations that would result in $2 million in savings• Conducted on-site assessments with local warehouse manager to identify and resolve inconsistencies among inventory transactions; enabled the finance team to compile and deliver quarter-end report on a timely basis• Updated financial models to increase the accuracy of third and fourth quarter load fees and fuel costs