PythonDjangoMicroservicesAWSAWS LambdaGitlabKubernetesDockerJenkinsIonic frameworkAngularJSKeycloak (Redhat Single SSign-OnNginxMongoDB

The B2C application which was presented as a mobile app connected service providers with consumers for household and professional skilled services. The User interface for the application was a mobile app which was to be supported on Android and iOS built using the ionic framework. The backend was designed using python microservices on Amazon. The users of the mobile app were authenticated using social authentication such as Google and Facebook via OAuth2 server which also provided role-based Authorization. As part of the mobile app implementation, we implemented phone notifications using firebase via Amazon SNS. The Application was deployed on AWS using Kubernetes, Docker, and Jenkins. The authentication was done using Keycloak and IDP as Google and Facebook.
The product was deployed on AWS using Kubernetes and Docker. The CI/CD pipeline was built using Kubernetes, Docker, and Jenkins.

Node.jsMEAN stackAWSGitlabAngular5MySQL

The Quick Loan System is an enterprise system meant to process loans based on the credentials of the users. The main purpose of the company is to provide debt facility to new ventures and upcoming real estate related projects by providing Special Situation Lending and Real Estate focused funding. The application reduced the manual effort and time to process Loan applications. The system captured a lot of personal, financial, professional information. This data was then processed and verified based on certain rules. The verification of data meant interacting with ensuring the KYC formalities are completed using the third party APIs. The frontend for the application was built using Angular5.

PythonDjangoMySQLScrapyRest frameworkAngularElastic Search

The Web scrapper is a web-based application which scrapes data from different websites for similar information of an entity and dumps it into the Database. It uses BeautifulSoup and other packages for scrapping.
The product was deployed on AWS.