Highly skilled Backend Engineer with a Master's in Computer Science specializing in distributed systems and cluster resource scheduling. Proven ability to design and implement high-performance, scalable systems, as demonstrated through significant projects and internships at leading tech companies like Alibaba, Kuaishou, and Xinghan. Adept at optimizing resource utilization and streamlining development workflows, with a strong foundation in Go, Java, and modern middleware technologies.
Backend Development Engineer, Architecture Department
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Summary
Contributed to backend development and architectural design, focusing on AI application services and general SaaS platform features.
Highlights
Developed multi-model request schedulers for the AI application marketplace, enhancing platform features and service stability by integrating delay detection, multi-LLM interface adapters, and gateway short-link tools.
Contributed to the Infra-Pilot SaaS platform, implementing non-invasive service probing, automatic start/stop, and elastic scaling functionalities based on log collection.
Collaborated with cross-functional teams to deliver robust and scalable backend solutions for AI-driven products.
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Summary
Developed internal API management platform to significantly enhance R&D efficiency and streamline development workflows.
Highlights
Developed Kuaishou's internal KDEV-API management platform, enabling API version control, JSON automatic parsing, and pipeline control plugin integration.
Implemented critical features including API change notifications, automated multi-platform import, and pipeline API parsing plugins, improving developer productivity.
Streamlined API management processes, contributing to faster and more efficient software development cycles within the organization.
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Summary
Participated in a key batch application refactoring project to modernize legacy systems and support new DevOps initiatives.
Highlights
Developed code refactoring tools and designed DSL scripts for automated configuration generation to support new DevOps versions for legacy applications.
Automated refactoring for over 70 departmental applications, significantly reducing manual effort by 80%.
Contributed to the improvement of development efficiency and system maintainability across multiple business units.
Cluster Resource Scheduling, Distributed System Architecture.
Go, Java.
Gin, Gorm, gRPC, SpringCloud.
K8S, Docker, JuiceFS, HDFS, Nacos, Kafka, MySQL, Redis.
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Summary
Designed a resource scheduling framework for cloud-edge-end environments, optimizing resource distribution, data layout, and task demands to improve cluster resource utilization and task completion time for training and inference tasks.