• Developing DB models for patient statistics
• Developing Reactjs components for reusability.
• Developed docker Jenkins pipeline for CI/CD deployments.
• Developed the restful APIs signatures and skeletons for all patient crud operations with patient data.
• Design and architect the backend infra for high scalable applications

Brief Description  Classify different type of offer coupons by their similarities from different merchants designing a user based recommendation engine to send related ads to which the user may like.

Grouping likeminded users by comparing various featured attributes. The goal is to deliver the best deals to the user by analyzing their past activities.

Roles & Responsibilities: -

• Developed node js apis for show casing different offer and dashboarding data.
• Modelled the data bases in mongo db.
• Developed the UI dashboards.
• Developed angular controllers, services.
• Written unit test cases using NUnit.

Developed end to end application architecture in cloud/on-prem which helped running the loosely coupled micro services giving resilient end to end experience.

Also design the frameworks to create cloud automation with ansible for muti cloud experience with intercloud operability.

Used docker and ecosystem to avoid dependency issues while deploying the app to any platform.

Developed a math engine for algscience backend which allows to generate math solution for different kind of problems.

Uses different randomize algorithms to generate option and use context free grammar NLP for solution for solution of each problem.

Developed a cloud auditor engine which manages different cloud accounts for large corporate and takes necessary action to save annual expenditure.

Created an orchestration framework to apply security and governance policies across multiple accounts and determine the utilization of resources.