Zhang Ling

Experienced software engineer with expertise in designing and optimizing high-performance systems for large-scale user growth and marketing platforms. Skilled in Java, system architecture, and real-time data processing. A proven track record of improving system efficiency, stability, and user engagement through innovative solutions. Recognized for fostering collaboration across teams to align technology with business goals and mentoring engineers to elevate team performance.

• 30% performance improvement in Yonghui's growth system.
• 180,000 TPS handled by the TaoPiaoPiao coupon system.
• 0.5% conversion boost from Ctrip's personalized recommendations.
• 80% reduction in development workload through unified architecture.

• Objective: Addressed high maintenance costs and limited feature reuse by designing a unified platform.
• Key Components:Task Center: Managed user behaviors via synchronous and asynchronous triggers.
  Lottery Center: Provided reusable functionalities for campaign management.
  Client Integration: Enabled simple integration with minimal client-side changes through annotations.
  Central Monitoring: Real-time alerts and issue tracking using ELK stack.
  
• Technologies: RocketMQ, MySQL, Redis, ELK.
• Achievements:Reduced new activity development workload by 80%.
  Decreased issue detection time from 10 minutes to seconds.
  Lowered maintenance costs by 80%.
  

• Objective: Managed complex marketing and ticketing needs for over 100 million users, achieving high performance with 100,000+ QPS.
• Key Features:Caching System: Employed multi-level caching using MemoryDB and LevelDB.
  Performance Optimization: Achieved 15ms response times through structural adjustments.
  Campaign Flexibility: Plugin-based architecture supporting campaign stacking and exclusions.
  Subsidy Control: Real-time and offline reconciliation for order accuracy.
  Operational Tools: Developed tools for real-time log processing and visualization.
  
• Technologies: RocketMQ, DTS, TDDL, Sentinel, FLINK.
• Achievements:Built the most advanced industry marketing platform.
  Secured market leadership through optimized campaign performance.
  

• Objective: Developed a high-throughput coupon system (180,000 TPS) to improve query and issuance processes.
• Design Highlights:Query and Issuance Separation: Enhanced system stability and performance.
  Task Tables: Replaced distributed transactions to ensure reliability.
  Single-row Locks and ALISQL: Achieved 36,000 TPS on single-row updates.
  
• Technologies: RocketMQ, Redis, ALISQL.
• Achievements: Designed high-speed coupon issuance architecture, meeting TPS targets and improving system stability.

• Objective: Provided personalized, real-time vacation recommendations using big data and machine learning.
• Core Features:Real-time Engine: Efficient user grouping for data processing.
  Memory Buffering: Reduced write pressure and minimized latency.
  Cold-start Solution: Used offline data import to ensure data consistency.
  
• Technologies: RocketMQ, Storm, Redis, Hadoop MapReduce.
• Achievements: Increased user conversions by 0.5% while maintaining a low latency of 15ms.

• Exploring the intersection of technology and business growth.
• Passionate about data analytics, AI, and cloud infrastructure.
• Continuous learning and staying updated with industry trends.