• Implemented APIs to create templates beforehand of the actual store creation reducing the cost & time of store bring-ups from 6 weeks to 1 week. (83% time reduction)• Eliminated 1-2 weeks of efforts by adding new features for VSBU(Virtual Store Bring-Up) service that helps downstream services to automate bring-up infrastructure related to new store like VPC endpoints, AWS Account, Pipelines etc.• Brought up new stack & stages in CI/CD pipeline to expand the services in Amazon Go in different domain/regions.• Improved integration tests for APIs making more robust in detecting changes during deployments.• Reduced the total ticket intake per week for several micro-services by resolving bugs and maintaining proper documentation for clients.

• Improved Data-Sync detector for the stores running over several regions/stacks. Reducing run-time to less than 10 mins from 5 hrs. (99.9% time reduction)• Redesigned the script to directly hit DynamoDB using AWS SDK in JAVA, instead of calling the API to fetch the data across region. Resulted in lowering continuous churn on the API for hrs.• Automated several infrastructure scripts running manually by leveraging new infrastructure bring-up micro-service. Added new features in the micro-service.

Software Engineering Virtual Experience Program-Task 1. Utilize Python knowledge to interface with the stock price data feed on the client-side and fixed an existing bug.Task 2. Implement J.P. Morgan's Perspective framework open-source code, fix the broken Typescript file, pipeline data, and implement data visualization features with the help of React, typescript, and output as in web application.Task 3. Use Perspective to create a chart on the trader's dashboard to visualize stock price comparisons.Task 4. open-source contributions towards JPMC.