Anshuman Kumar

SageMaker - A product that Builds, train, and deploy machine learning (ML) models—for any use case with fully managed infrastructure, tools, and workflows.

ZSegment - Cloud-Native Healthcare Interface Engine An Interface engine that exchanges data across various healthcare systems. With its multiple components, the system offers strong data transformation, routing, and overall data management capabilities. ▪️ Implemented a detailed solution to handle the subscription and billing for a client, providing flexibility to upgrade or downgrade subscription plans. ▪️Implemented automated provisioning for ZSegment tenant onboarding, adding support for services like Keycloak, Redpanda, Gitea, and Lago. ▪️Implemented database schema migrations using Atlas Go, ensuring efficient version control and deployment. ▪️Refactored multiple RESTful API to enhance the quality.

Maple - Authorization Tool: A data authorization tool within Amazon designed to protect employee data by defining easily automated and highly scalable access rules. ▪️ Created and migrated multiple RESTful APIs to a new service for enhanced functionality, while also focusing on unit and integration test cases. ▪️Implemented a database table schema via CloudFormation in MapleServiceInfra and created the Python script using the boto3 library to insert S-TEAM segment records into that table. ▪️Be on-call to resolve multiple tickets, acquired an in-depth understanding of the product, and earned accolades from the skip manager for taking ownership and consistently delivering results on time. ▪️Furthermore, contributed to an Amazon open-source library that we used in our internal project for connectivity purposes, and my changes were accepted by the maintainers.

❍ Data structure and algorithm ❍ Object oriented programming ❍ Computer network ❍ System design ❍ DBMS ❍ Operating sysetm