Software Engineer

-Leveraged the Kubernetes client tools to develop a cluster health monitoring solution to optimize resource costs by providing real time critical feedback on individual pod conditions and snapshot capabilities of pod logs for better debugging. -Leveraged D3 and Websockets to create dynamic cluster visualizations optimizing the continuous fluctuating data i/o to remove redundant HTTP calls resulting in a 60% decrease in front/back end latency. -Architected PostgreSQL database that can effectively handle the exponentially-growing log data for each pod, while also managing organizations and their associated whitelisted accounts due to its inherent scalability and relational capabilities. -Customized the frontend using Material UI for its adherence to Google’s material design guidelines to optimize user accessibility receiving a 89 on Google Lighthouse. -Deployed on AWS S3 for its high capacity infrastructure while containerized with Docker to minimize CI/CD resources. Cascading Style Sheets (CSS), TypeScript and +29 skills