I'm pursuing the master degree at UC Berkeley Electrical Engineering & Computer Science (EECS). Also, I have more than three years work experience as a backend engineer and system architect, leading the team to develop web applications and oversaw system reconstruction.In addition, I research distributed/parallel systems and cloud computing. We propose a set of runtime dynamic management techniques, including auto-scaling, job preemption, workload-aware scheduling, and elastic GPU sharing, to handle a mixture of ML workloads, and implemented as a set of extended operators on Kubernetes using Golang. I successfully out-perform the native Kubernetes by 60% system throughput improvement and honored to receive the best paper award in CLOSER 2021.In the past few years as a full-stack engineer & system architect, I have participated in the following fields:+ Media Streaming+ E-Commerce+ Social Apps (Instant Messaging, Posts)Interests:+ Distributed Systems & Infrastructure+ Cloud Computing / Parallel Computing+ MLSys+ DevOpsand skilled at:+ Microservice Architect & Development (Kubernetes, Istio, AWS, GCP)+ DevOps (CI/CD, Monitoring)+ Instant Messaging App (NATS-Streaming, gRPC, Go)+ Payment System ( Credit Card / AP / GP / Line Pay )+ Authorization System (Include multi third-party provider integration)+ SQL (MySQL, PostgreSQL) and NoSQL (Redis, ElasticSearch, Neo4j, MongoDB, Prometheus, dGraph)+ Realtime Service (Websocket, Log-based Messaging Brokers)+ Kubernetes Custom Operator DevelopmentFamiliar with following programing languages:+ C/C++, Java(Object-Oriented Design), Python, Verilog, Go, Javascript, SQL, Typescript