Project 2:

On-boarding APIs on the required pipeline – Service Mesh, setting up automated build, and deployment job for APIs, setting up the required configuration for APIs before deployment, worked in container-based technologies like Docker, Kubernetes, and OpenShift. Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployment. Validating of API deployments in OpenShift containers for successful deployment and API giving a successful response. Knowledge in implementation of CI and CD as needed to support internal and customer development. Tracking all the requests with JIRA to track defects and changes for change management.

Project 1:

Worked in container-based technologies like Docker, Kubernetes. Point team player on Kubernetes for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification of Build configs, templates, Image streams, etc. Created additional Docker Slave Nodes for Jenkins using custom Docker Images and pulled them to ECR. Worked on all major components of Docker like Docker Daemon, Hub, Images, Registry. Utilized Jenkins master/slave architecture to distribute builds on nodes and trigger Jenkins job to build the artifacts.

worked on internal project VERA 2.0, Scope of this

Project is to generate the intelligent response for the user queries in custom domain using

Machine learning and Deep Learning algorithm. Create a pipeline for this project using

CI/CD Tools used GITLAB as a repository and made connections between GitLab and Jenkins. Jenkins to build the project and test it using test cases. To deploy, I used spinnaker, through spinnaker deployed it in AWS. And worked on name entity extraction using RASA.

Working on Scan-2-Cook on deployment the model in AWS Sagemaker, lambda function and API’s. Build the Sagemaker TensorFlow container, build TensorFlow base cpu, build decker file, build an image that can train and inference, build the final image.

Tested locally before deploying it. Train and host model in Sagemaker, build and register the container, build the container image and pushed the image to ECR. Setup the environment, create session, created the estimator and fit the model and deploy the model and Tested

On-boarding APIs on required pipeline – Service Mesh, setting up automated build, and deployment job for APIs, setting up required configuration for APIs before deployment, worked in container-based technologies like Docker, Kubernetes and OpenShift.Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps and deployment. Validating of API deployments in OpenShift containers for successful deployment and API giving successful response. Knowledge in implementation of CI and CD as needed to support internal and customer development. Tracking all the requests with JIRA to track defects and changes for change management.

Worked in container-based technologies like Docker, Kubernetes. Point team player on Kubernetes for creating new Projects, Services for load balancing and adding them to Routes to be accessible from outside, troubleshooting pods through ssh and logs, modification of Build configs, templates, Image streams, etc. Created additional Docker Slave Nodes for Jenkins using custom Docker Images and pulled them to ECR.Worked on all major components of Docker like, Docker Daemon, Hub, Images, Registry. Utilized Jenkins master/slave architecture to distribute builds on nodes and trigger Jenkins job to build the artifacts.

worked on internal project VERA 2.0, Scope of this Project is to generate intelligent response for the user queries in custom domain using Machine learning and Deep Learning algorithm. Create a pipeline for this project using CI/CD Tools used GITLAB as a repository and made connections between GITLAB and Jenkins. Jenkins to build the project and test it using test cases. And worked on name entity extraction using RASA.