Dongnuo Lyu is a software engineer with a strong academic foundation (MEng, Software Development Engineering, Duke University, 3.96 GPA) and two years of hands-on experience building cloud-native systems and full-stack web applications. Currently at Confluent working with Kafka, he previously interned at Microsoft where he built .NET APIs, optimized Cosmos DB paging to speed tenant reviews eightfold, and cut monthly costs by 34% using Azure Functions. Comfortable across backend and frontend stacks (C#, .NET, TypeScript, React) and observability tooling (Grafana, Kusto), he has practical experience turning operational metrics into alerting dashboards and scalable services. A physics-trained thinker from Fudan University, he pairs rigorous analytical instincts with production-focused engineering, and is actively seeking full-time opportunities in the Raleigh–Durham area.
2 years of coding experience
Master of Engineering - MEng, Software development engineering, 3.96, Master of Engineering - MEng, Software development engineering, 3.96 at Duke University
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at 复旦大学
Contributions:218 reviews, 67 PRs, 222 comments in 1 year 5 months
apache-kafkakafka-consumerapachescalakafka
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