As an experienced software engineer with a strong background in data platforms and AI technologies, I specialize in designing, developing, and maintaining high-performance computing solutions. My journey spans across multiple companies, where I have consistently delivered robust, scalable, and efficient systems.In my previous role, I was instrumental in maintaining and enhancing a data platform built on Hadoop components, including HDFS, YARN, HIVE, Spark, and Flink. I ensured the platform's high availability, multi-tenant resource isolation, and service level agreement (SLA) compliance. I also spearheaded the implementation of a real-time data streaming solution using Kafka and Flink, enabling comprehensive cost analysis for various business groups by collecting and analyzing computing task metrics and storing the results in HDFS.To optimize resource utilization, I developed advanced techniques such as multi-cluster dynamic scheduling and single-node resource oversubscription. These innovations significantly increased single-node utilization and reduced task pending time, enhancing the overall efficiency of the computing platform.Currently, I am focusing on the development of an AI platform. My responsibilities include building web services with Gin, creating custom resource definitions (CRDs) in Kubernetes clusters for inference and data processing tasks, and assisting users in leveraging Ray for scalable and efficient AI inference.I am passionate about leveraging cutting-edge technologies to solve complex problems and drive innovation. My goal is to continue expanding my expertise in AI and data platforms while contributing to the success of forward-thinking organizations.