Built an AML (Anti-Money Laundering) check backend from scratch using Django Rest Framework. Accessed the
publicly available AML lists in XML format, converted XML to JSON and parsed the JSON documents to obtain
individual and entity information using Python’s Jmespath module.
Used Celery, Celery Beat, RabbitMQ for distributed and scheduled tasking, Redis for transient data storage,
ElasticSearch to make full name, alias and date of birth searches on merged JSON documents.
Integrated the project into company’s major computer vision codebase.

Two Factor Authentication Backend using Django Rest Framework for Customer Use

Created a biologin backend using Django Rest Framework for customer use. This allows the user to login with their selfie only. The selfie is compared with the faces that are already available in the database.