• Built a message queue service via Go to asynchronously stream data model updates to downstream consumer services for further processing

• Made significant resiliency improvements to a system of several Node.js-based microservices, helping to increase customer retention of a popular product

• Implemented Jaeger distributed tracing in a complex microservice-based architecture to help visualize message propagation and significantly improve debugging power

• Incorporated a new Node.js microservice into an existing architecture to rapidly stream recently published data via Kafka topics to interested consumers

• Created various CLI tools in Go and Bash to help probe and debug live microservices in independent Kubernetes clusters, significantly increasing developer productivity

• Used Spinnaker CD to deploy Docker containerized microservices from staging to production environments

• Used Grafana dashboards to analyze microservice runtime metrics reported by Prometheus to help configure Kubernetes pod CPU/Memory requests and limits to reasonable levels

• Helped build a React-based microfrontend to display live custom model data to consumers in a large system

• Updated MySQL schemas in existing databases via migrations to include additional metadata to help strengthen system resilience

• Worked on popular Messenger and Line instant games "EverWing" and "BattleCats"

• Created custom game progression features for efficient testing of game quests

• Propagated events to Messenger for QA builds to help confirm state of game progression

• Served as lead engineer with interns to build a clone of the game "Ballz" with exotic features

• Produced simple games on the HTML5 Canvas to test the Game Closure Devkit APIs

• Created a CLI in Go to specify and trigger policy flow pipelines to protect Kubernetes applications

• Added RESTful APIs to monitor snapshot and backup policies of Kubernetes applications

• Used Kubernetes CLI to oversee Docker container activity in Kubernetes clusters on AWS

• Built backend endpoints to calculate statistics on active policies to display on user dashboards

• Explored Go linters and added features to internal build scripts for stronger linting