[Security Analytic Engine (SAE) Team]• Led small Scrum teams (3 to 5 people) to achieve diverse goals in workflow orchestration and cloud service operations‬• Devised‬‭ an‬‭ execution‬‭ plan‬‭ to‬‭ extend‬‭ the‬‭ API‬‭ server‬‭ from‬‭ AWS‬‭ to‬‭ Azure,‬‭ enabling‬‭ hosting‬‭ on‬‭ both‬‭ clouds‬‭ using‬‭ a‬‭ unified‬‭ code‬‭ base

[Security Analytic Engine (SAE) Team]• Collaborated with a large cross-functional team (10 to 15 people) to‬‭ build‬‭ the‬‭ Security‬‭ Analytics‬‭ Engine,‬‭ a‬‭ highly‬‭ available,‬‭ microservice-based data streaming service that processes over 50TB of data daily in near real-time (AWS, Java, Python)‬• Orchestrated the rollout of an allowlist feature across 5+ teams, significantly reducing client-side false alarms• Implemented‬‭ a‬‭ threat‬‭ pattern‬‭ matching‬‭ algorithm‬‭ within‬‭ a‬‭ Flink‬‭ application,‬‭ enabling‬‭ near‬‭ real-time‬‭ detection‬‭ of‬‭ malicious‬‭ activities across 500K+ endpoints• Optimized the model collection pipeline by redesigning the Step Functions workflow, resulting in a 50% reduction in EMR costs‬• Developed infrastructure as code to automate CI/CD pipelines and service monitoring

[DataLake (DevOps) Team]• Led‬‭ development‬‭ efforts‬‭ of‬‭ DataLake,‬‭ a‬‭ serverless‬‭ SaaS‬‭ solution‬‭ that‬‭ streamlined‬‭ in-house‬‭ data‬‭ sharing‬‭ on‬‭ AWS‬‭ with‬‭ fine-grained‬‭ permission control, adopted by 200+ teams• Directed the engineering of data access reporting and metadata search• Engineered the authentication mechanism for DataLake

[Research Center]• Prototyped a data analytics hub to enable data-driven marketing decisions• Built‬‭ a‬‭ self-service‬‭ SQL‬‭ Query‬‭ Toolbox‬‭ with‬‭ 2‬‭ members,‬‭ reducing‬‭ operational‬‭ workload‬‭ and‬‭ enhancing‬‭ reporting‬‭ automation‬• Initiated the creation of a shared data extraction and aggregation library, enhancing collaboration efficiency for 10+ engineers