• Developed and updated Django backend database models, Django Rest Framework serializers, and REST APIs, enabling customizable robot configurations• Optimized the React frontend and improved Redux state management by refactoring the codebase and introducing new features, resulting in a more responsive user engagement• Deployed the application using Docker and AWS EC2, DNS, and CloudFront and established a secure HTTPS connection ensuring a reliable and secure connection• Built a real-time robot status monitoring Python microservice that connects to Grafana using MQTT and InfluxDB, reducing instances of CPU spikes and enhancing overall system stability

• Built a real-time GCP virtual machine counting monitor using Prometheus, Python and visualized the monitor data with charts and graphs on Grafana • Engineered an Opsgenie alert application to allow engineers to trigger alerts from Slack message by using Python, Slack Bolt and Opsgenie-sdk • Dockerized the GCP monitor and the Opsgenie alert application on Kubernetes with Helm, Harbor and AWS service • Deduplicated 86.4% of repeated spam alerts by filtering and combining similar alerts using Python • Performed unit testing for developed infrastructure service using Java, JUnit, Mockito, and PowerMockito • Integrated Jira ticket creation process with land code CICD process to improve 1.8% of productivity by using Jenkins pipelines and Groovy • Updated the internal Cherry Pick system to adopt the QA engineering team's new branch naming policy using TypeScript