Successfully deployed an MLOps stack incorporating MLflow for model hosting, experiment tracking, and dataset sharing. Spearheaded introduction and adoption of MLOps practices using Argo Workflows to streamline the model training lifecycle, leveraging Git for version control and collaboration. Actively onboarding data scientists and ML engineers to embrace and integrate the new system into their workflows for enhanced productivity and efficiency.

Worked and built Jenkins and Groovy-based pipelines for CI/CD purposes.Writing deployment manager in Python (compatible with python2/3 both) after un-derstanding complex project designs and packing the whole-based solution to be de-ployed in a single release file and with one single command, by taking some parametersas input in yaml file. Identifying system dependencies and being able to handle multipleOSes automatically and all the package dependencies offline in both production anddev environments and be able to deploy/patching/upgrading solutions on single ormultiple VMs using one release file and a single deployment manager.Building GitOps-based CI/CD pipeline for infrastructure deployment in an in-houseprivate cloud.Documentation and deployment of K8s clusters and rancher UIs for in-house devel-opment. Stretching K8s limitations and porting existing applications including sharedmemory utilizing ones and making them k8s compatible.

As a backend developer, I played an instrumental role in simplifying processes and automating tasks through the use of Ansible. Additionally, I contributed to developing a cutting-edge cyber security product, utilizing my expertise in Node, ExpressJS, and JWT Token-based authentication to build and secure JS APIs seamlessly integrated with an open-source project.

Upgraded to lead DevOps role. Built and maintained client infrastructures for SaaS-based products on different cloud platforms including Digital Ocean, AWS, and Azure.

I worked here as a DevOps engineer. My day-to-day activities included pipeline configurations, creating standard and customized docker files, deploying apps, and managing and monitoring Kubernetes clusters. Shell scripting for automation of repetitive tasks. Ansible automation for some tasks. VMware ESXI management for creating and updating VMs in infrastructure.

Configured web panels and deployed web-based apps on custom VPS from AWS and GCP. Setup Domains and SSL certificates for those panels and apps. Main roles were Server Management and troubleshooting.