Cai Xu Email and Phone Number

- Develop safety classifier for AI contents generated by server-end and on-device AI features, ensuring GenAI outputs remain safe, trustworthy, and fully compliant with policies. - AI for User Generated Content Safety: Leveraged machine learning, empowered by AI, to combat various forms of abuse across multiple Google products (e.g., hate speech, dangerous content, hijacking, spam, etc.)Domain Knowledge: prompt engineering, synthetic data generation, LLM as Rater, model training, calibration, evaluation etc.

- Fully owned end-to-end fraud detection and prevention strategies for Venmo Business Profile with $2B processing volume, developing, implementing, and enhancing solutions through ongoing exploratory analytics to adapt to evolving fraud trends.- Utilized advanced machine learning methodologies to conduct in-depth future engineering to unearth valuable signals for fraud detection, deployed and served rule-based models to production.- Created and implemented A/B testing on diverse risk treatments, assessing user response and quantifying loss impact to evaluate treatment effectiveness, and launched the optimal treatments that address distinct user risk profiles on Venmo.- Developed multiple dashboards in Tableau to track loss trends and assess strategy effectiveness in achieving goals, simplifying complex findings into easily digestible insights for stakeholders, and prioritizing actionable outcomes to maximize business impacts.

• Business Analysis: Identified key value drivers that accelerate the business growth of 20 financial services including investment banking and investment management through business process analysis and financial market trend research. • Strategic Mapping: Built visualized strategy maps based on Balanced Scorecards for 12 financial institutions including brokerages and investment banks to facilitate executives’ business performance tracking and strategy execution.• Strategic Planning: Developed operation management systems with 4,000 KPIs based on value chain model to support timely and systematical evaluation on operation efficiency, and to accelerate organization’s business decisions. • KPIs Standardization: Standardized the evaluation criteria and defined inter-relationships of KPIs that is to achieve maximum enterprise value and shareholders’ return for each financial institution.• System Optimization: Evaluated and advanced the applicability of each firm's assessment system on strategy implementation level through timely financial data analysis until landing on the best solution.