Kai Lu

VP of Engineering

San Francisco, California, United States17 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Machine Learning and Ads Optimization.
Proven track record in driving user growth and engagement.
Strong background in personalized recommendation systems.

Stackforce AI infers this person is a Machine Learning Architect specializing in E-commerce and Marketing technologies.

Contact

Skills

Core Skills

Machine LearningAds RankingUser GrowthFraud DetectionRecommendationRankingRecommendation SystemsMobile AdvertisingData MiningInformation Retrieval

Other Skills

PredictionPersonalized recommendationsSearch relevanceEngagementDistributed systemsLarge-scale data processingNLPDisplay Ads QualityPersonalized recommendation systemsReal-time biddingApplied Machine LearningNatural Language ProcessingAlgorithmsComputer ScienceText Mining

About

My past experiences are related with Machine Learning, Recommender Systems, Information Retrieval, Natural Language Processing and Data Mining. With expertise in Ads Ranking and Prediction, Personalized recommendations, Search relevance and ranking, User growth & engagement, Fraud/abuse detection, Distributed systems & large-scale data processing and etc. Great passion in using Machine Learning, Statistical Inference, Data Science and Software Engineering knowledge to solve the real challenging problems.

Experience

17 yrs 1 mo

Total Experience

2 yrs 10 mos

Average Tenure

5 yrs 9 mos

Current Experience

Coupang

Director Of Engineering II

Aug 2020 – Present · 5 yrs 9 mos · Mountain View, California, United States

Leading the ML & Engineering efforts(yield optimization, retrieval, ranking, auto-bidding, auction, budget pacing and etc) to support the business growth for:
E-commerce ads: recommendations ads, search-ads, feed-ads, and auto-bidding optimizations
Growth Marketing & Offsite Ads: Grow both Coupang and Advertisers' sales/ROI via ML & optimizations;
Eats Ads: search ads, home-feed, listing ads and etc;
Promotion: personalized-targeting & ranking;
Recommendation engine and end-to-end ML platform to support the hyper-growth.
Please feel free to drop me a note if you are passionate about solving challenging problems, ML-modeling, Ads domain, Growth domain and optimizations. Thanks!

Machine LearningAds RankingPredictionPersonalized recommendationsSearch relevanceRanking+5

Uber

Uber Engineering

Apr 2018 – Aug 2020 · 2 yrs 4 mos · San Francisco Bay Area

Software Engineer (TechLead) In Machine Learning: growth & promotion, fraud/abuse detection & intelligent decision, NLP & search relevance, and etc.

Machine LearningFraud detectionNLPSearch relevance

Google

Software Engineer

Oct 2015 – Apr 2018 · 2 yrs 6 mos · Mountain View, CA

Display Ads Quality: recommendation, ranking and etc.

Display Ads QualityRecommendationRanking

Applovin

Data Scientist

Apr 2014 – Oct 2015 · 1 yr 6 mos · Palo Alto, CA

#IPOed in April21: (NASDAQ: APP)
Worked in the large-scale personalized recommendation systems, mobile advertising quality, mobile user targeting and real time bidding related projects.
AppLovin's marketing platform provides marketing automation and analytics for brands who want to reach their consumers on mobile. The platform enables brands to use real-time data signals to make effective marketing decisions across one billion mobile consumers worldwide. AppLovin is headquartered in Palo Alto, with offices in San Francisco, New York, London, Berlin and Beijing.

Personalized recommendation systemsMobile advertisingReal-time biddingRecommendation SystemsMobile Advertising

Uc santa cruz

Research Assistant

Jan 2012 – Jan 2014 · 2 yrs · Santa Cruz, CA

Research on Recommendation Systems, Data Mining, Applied Machine Learning and Information Retrieval (On-leave now)

Recommendation SystemsData MiningApplied Machine LearningInformation Retrieval

Institute of computing technology, chinese academy of sciences

Research Assistant

Jan 2009 – Jan 2012 · 3 yrs · Beijing, China

Did Research and Engineering Projects in Information Retrieval, Data Mining, Machine Learning, Recommendation Systems and Natural Language Processing fields. Worked out several papers and patents in these fields.

Information RetrievalData MiningMachine LearningRecommendation SystemsNatural Language Processing