Fangzhou Li is a Senior Consultant and experienced backend engineer based in Amsterdam with a 10-year track record building high-throughput, concurrent big-data systems for finance and enterprise applications. He has deep expertise in Java and Spring Boot, Kafka, Redis and SQL performance tuning, having architected data pipelines, caching shards and payment/tax/reporting systems for Tencent Europe and Brandwatch. At HSBC he now focuses on DevOps platform architecture and developer tooling, bridging production reliability with scalable data flow design. His background in computational linguistics and past work integrating ML-driven services (Spark serve, emotion detection) give him a practical edge in deploying data science models into production. Colleagues know him for solving thorny JVM and concurrency issues in live systems and for pragmatic CI/CD and containerization practices. He combines strong hands-on implementation skills with an eye for maintainable, enterprise-grade architecture.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS computational linguistics, Master of Science - MS computational linguistics at University of Stuttgart
Contributions:1 push, 1 branch in 3 years 2 months
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