• Led the design of refactoring the Stores Service. a.) Introduced Typescript as part of the design b.) Achieved a reduction in CPU usage by 30%-57% on average c.) Achieved a reduction in the memory usage by 10%-30% on average d.) Reduced the average P50 response times by ~15%• Designed store state ingestion a.) Designed the GraphQL schema, queries and mutations required to achieve the feature.• Redesigned store label creation a.) Ingested 22% additional stores based on the design• Worked on marketing conversion reporter service a.) Implemented the new service to record marketing clicks and conversions b.) Integrated with the Facebook marketing channel to relay the conversions of a marketing campaign.• Set up integration tests for the stores ingestion service a.) Set up all test cases providing full coverage and incorporated the tests in the CI/CD pipeline.The engineering toolset used includes javascript, node.js, typescript, python, docker/Kubernetes, GCP

• Reduced time to review contracts by designing and building a tool which helps lawyers review contract data predicted by our machine learning models.• Improved efficiency of lawyers in reviewing data by building a library to facilitate creation of trees of related documents/contracts. Reduced the time for accessing contracts.• Provided insights by creating APIs to provide analytics about user work.• Reduced latency of APIs by creating lambda functions and making the architecture asynchronous.• Improved user experience by building a smooth workflow for onboarding users using RESTful APIs.• Created an asynchronous service using the worker pattern for downloading contracts.• Made contract lookup effortless for the user by creating APIs to search contracts.• Increased the security of applications by building a permissions framework for authorization of users.• Built an API to facilitate users to generate support tickets. Integrated the API with Jira.* Company was split from Axiom Global Inc.Technologies used: NodeJs, MySQL, Postgres, Bookshelf.js, ElacticSearch, Kibana, AWS DynamoDB, AWS Lambda, AWS SQS, AWS SNS.

• Created a pipeline for a lambda service facilitating deployment of code to AWS lambda.• Collaborated on a service, which polls for asynchronous requests by using AWS SNS and AWS SQS.Published metrics and set up monitoring alarms for the service using AWS CloudWatch. Published metrics for multiple marketplaces including every fulfillment center.• Created an API to add a printer validation component in our architecture’s workflow. Made a cross-package change using ReactJS, Java and Ruby on Rails. This reduced the latency of system as it avoids additional network calls.• Worked on publishing metrics for our externalized portal to multiple marketplaces. This improved operational excellence by publishing metrics for every fulfillment center. It also made client side metrics for every fulfillment center available allowing us to monitor the usage of our services during peak. Technologies used: Java, Ruby on Rails, Spring MVC, AWS CloudWatch, Blueprints, AWS SNS, AWS SQS, ReactJS

• Responsible for building a library to facilitate communication between a Ruby on Rails codebase and MATLAB.

• Orchestrated the design, implementation, testing and deployment of a scalable service providing cartonization solution for a set of items. Brought down the runtime to approximately 90ms from around 2 seconds, which was for the existing system.Technologies used: Java, AWS Lambda, AWS API Gateway.