Qiran Li is a software engineer with eight years of experience building production-grade systems across AI, fintech, and research settings, currently working on Copilot at Microsoft AI. Proficient in Java, Kotlin, Python, Golang and TypeScript, he designs and ships cloud-native services using Spring, gRPC/REST, Kubernetes, ArgoCD and Terraform, backed by expertise in AWS, GCP, Snowflake and Postgres. His background blends data science (MS from Columbia) and hands-on ML production work, having contributed to ML engineering projects and research roles bridging model development and scalable deployment. At SoFi and prior quant roles he delivered data-driven, reliable systems for high-stakes financial workloads, while early research and startup stints reflect a pragmatic, experiment-forward approach. He favors observability and safety in production—instrumenting systems with DataDog, Monte Carlo, and Istio—and often crosses the stack from infrastructure to model serving. Based in Suzhou, Qiran combines rigorous academic training with a product-minded engineering style focused on operational robustness and measurable impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Economics, Finance, Bachelor of Economics, Finance at Tongji University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University
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