– Successfully onboarded a new business unit on AWS, created a VPC, and set up EKS.Bootstrapped EKS with Istio, Harness, cert-manager, Karpenter, Datadog, and Vector. Created a DNSfirewall and set up RDS, including database creation, user creation, and assigning specific permissionsusing Terraform.– Developed a Concourse pipeline to automate the process of employee database entry removal andintegrated JIRA ticket creation and closure for tracking work within the same pipeline.– Separated HAProxy and container logs using Ansible to improve log management.– Created Datadog monitors for monitoring AWS RDS replication slot’s size using Terraform.– Enhanced a Terraform module to support creating security group rules with other security groups as sources, enabling the creation of multiple such rules.

– Integrated OpenTelemetry support by embedding traceparent header in the incoming requestwhich enables it’s propagation using eBPF in the Keploy Enterprise Version which resulted in moreconsistent tests and mocks matching.– Resolved an issue in testing by rectifying test run failures caused by the deletion of test cases, ensuringalignment between test cases and their corresponding mocks, and enhancing testing efficiency.– Identified and resolved a critical bug in Keploy's container management process, ensuring proper container termination and removal when stopping Keploy.

• Streamline Dev VMs Setup– Revamped the creation of YB Dev VMs (AWS) by moving the ansible installations from Dev VMs to a single Amazon Machine Image (AMI) which resulted in the efficient and hassle free creation of Dev VMs.– Achieved a 70% reduction in creation time for Dev VMs.Technologies Used: Shell Scripting, Ansible, Packer, AWS EC2 Instances, Amazon Machine Images.• Program Tracker | An Enhanced and Enriched JIRA Dashboard– Added multiple settings like main tabs, filter tabs, and fixed tabs settings by integrating YugabyteDB to achieve the purpose of customizable dashboard as per user needs.– Improved the error handling system by introducing an error handling middleware at the backend and toasts at the frontend.– Added a feature in which user can ping for open issues directly from the dashboard to slack. Technologies Used: ReactJS, NodeJS, YugabyteDB, Docker, Slack API, JIRA API• Cloud Resource Cleanup– Automated the workflow of cloud monitoring by writing a python script which will ping the AWS instances and disks owners by using email tag on slack.Technologies Used: Python, AWS Boto3, Slack API, Crontab• Detective | An internal tool used to monitor DB builds– Worked on shifting the frontend technologies of the dashboard from Ruby on Rails to ReactJS.– Introduced server side caching using redis which resulted in 60% reduction of loading time.Technologies Used: ReactJS, Ruby, Ruby on Rails, Redis, MaterialUI, Postgres