Chuyun Zhong

Software Engineer with 5 years’ experience building high-performance systems in the financial sector, specializing in Java backend development, distributed systems, and cloud infrastructure. At JPMorgan, leading AI-driven automation initiatives to eliminate repetitive manual work and accelerate delivery of complex financial workflows. Strong focus on scalable architectures, low-latency pipelines, and applying emerging technologies like AI orchestration to financial platforms.

JPMorgan Chase & Co. – London, UK

Associate Software Engineer | Sep 2022 – Present

• Built real-time data ingestion pipelines using Kafka and multi-threaded Java services, processing millions of events daily with <20ms latency.
• Partnered with data science teams to productionize ML-driven financial workflows, automating manual configuration tasks and enabling scalable deployment.
• Applied Python for data analysis, testing, and integration scripting, complementing Java microservices in production systems.
• Deployed containerized applications with Docker/Kubernetes and CI/CD pipelines via Jenkins/Harness.
• Optimized CockroachDB data structures and indexing for consistent replication and high throughput.
• Monitored system reliability with Grafana, Prometheus, and Kibana in live environments.

The Hut Group – Manchester, UK

Software Engineer | Sep 2020 – Sep 2022

• Designed automated data pipelines and monitoring tools, ensuring reliability and scalability of high-traffic e-commerce services.
• Built and maintained Spring Boot microservices for e-commerce APIs and third-party integrations.
• Improved CockroachDB performance through schema and indexing refinement.
• Automated build/deploy pipelines with Jenkins and applied thorough testing with JUnit, Mockito, and Cucumber.

Imperial College London – MSc Advanced Computing 2018 – 2019

Sichuan University – BEng Computer Science & Technology. 2014 – 2018