My team keeps evolving and diversifying TikTok's global ads products, and actively developing cutting-edge model techniques and automated bid strategies that use machine learning to optimize conversion value for advertisers in every auction. My team's focus includes but is not limited to:-- Click-through rate/conversion rate/deep engagement/RoAS model building-- Auto-targeting and auto-bidding products-- Landing-page ads and app ads special topics-- iOS14 ATT treament-- Self-serve advertiser retention-- Traffic strategy/AdLoad/AdGap and user experience

Tech Lead/Manager for Assistant Driving Mode:-- Creating a single, unified mobile experience across Google apps on Android and iOS to provide users the most intuitive, safest way to get around, keep in touch, and stay entertained while driving.-- Announced at Google IO'19. Company OKR, top priority for Google Assistant.-- Found the engineering team from 0 to 1. Responsible for the overall engineering design and progress for the project.Quality work (i.e. auction/modeling) Tech Lead for Google Mobile App Promotion:-- Responsible for improving model and auction quality for mobile app ads (especially video ads) products, by introducing new features, designing new modeling methodology and implementing advanced feature-engineering and bidder infrastructure.-- Delivered tens of high quality launches that are in-total contributed ~1B USD revenue per year while improving the conversion efficiency as well.Infrastructure Tech Lead for ads serving core usage optimization:-- Improved the app ads serving infrastructure using smart metrics to achieve the best tradeoff between the CPU core usage and the revenue gain.-- Saved more than 200K cores with tens of successful launches.