Chen Fuhao

XPeng Motors

• Data Assetization & Top-Level Design: Led the end-to-end construction of the data ecosystem, from data pipelines to downstream data warehouses. Transformed massive raw data into discoverable, high-quality, and trustworthy strategic data assets by building a unified platform and implementing five core data governance systems, laying the foundation for efficient AI model iteration.
• Technical Platform Construction: Designed and implemented a proprietary cloud-native real-time data production pipeline, stably processing over 4.2 PB of data daily. Established a "Lakehouse" architecture based on a table format, creating a company-wide Single Source of Truth to ensure data consistency and reliability from the ground up.
• Data Discovery & Empowerment: Pioneered an "Open Binding Layer" solution for data discovery, integrating AI-driven auto-tagging and hybrid search technologies. Reduced data retrieval time from days to minutes, critically accelerating the AI model iteration cycle.
• Data Governance & Optimization: Established and promoted a comprehensive data governance framework. This included a proprietary DQS (Data Quality Service) gateway, a self-developed data anonymization system(awarded 1 patent), and an intelligent data tiering system. Ensured high data quality and compliance while achieving over 10 million RMB in annualized storage cost savings.
• Achievements & Recognition: Recognized for technical innovation and project contributions with the company-level 'Innovation Achievement Award' (2024), 'Gold Quality Award' (2022), the Autonomous Driving Center's 'Annual Outstanding Individual Award' (2024), and the 'Outstanding Newcomer Award' (2021).
• Keywords: Autonomous Driving Big Data Platform

Grab

• Led the establishment of a large-scale real-time geo-traffic flow platform covering 100+ cities in Southeast Asia by integrating real-time location data from drivers and riders, providing accurate real-time traffic conditions, optimizing route planning, predicting ETA, and calculating fares for the company's core ride-hailing and food delivery services.
• Re-architected the real-time traffic computation system, modularizing and decoupling components, establishing a rapid integration capability for third-party map data (e.g., Google Maps, HERE Maps, SK Maps), and built a complete continuous delivery pipeline (CI/CD) based on Kubernetes.
• Successfully decoupled offline data from real-time computation through data source modularization, significantly reducing system complexity and operational costs. Optimized real-time vehicle GPS data aggregation and watermarking calculations, effectively improving ETA prediction accuracy and fare rationality.
• Keywords: Traffic Flow Big Data Computation

Tencent

• Introduced automated sharding and index layering mechanisms, increasing the game log retrieval platform's index speed by 30% and accelerating user data processing and flow efficiency; concurrently developed and open-sourced an independent ES automated monitoring Dashboard.
• Designed and implemented a unified interface framework and multi-database component management system, supporting seamless data routing, migration, layering, elastic scaling, comprehensive monitoring, and automatic fault recovery across heterogeneous database components, significantly reducing user operational complexity and greatly enhancing automated O&M efficiency.
• Keywords: Game Big Data Storage

JD.com

• Led the design of an intelligent advertising bidding platform, innovatively introducing a Multi-Touch Attribution (MTA) model and confidence intervals to address data sparsity issues across different dimensions, enabling advertisers to implement one-click intelligent ad placements. The project improved the ROI of the ad platform's intermediate and external pages by 5% (awarded 1 patent).
• Implemented a multi-dimensional valuation system, helping advertisers achieve automated differentiated bidding across various channels and refine their advertising budget allocation.
• Built a product retrieval system targeting WeChat social users, achieving tens of millions in monthly GMV and attracting a large number of new users.
• Received the company's annual 'Gold Project Award' (2017).
• Keywords: Advertising Big Data Retrieval