Akshay Ray

Developed the backend for NPCI Internal Co-Creational AI Platform using containerized microservice architecture via Python Django and Django RestFramework. Implemented the authentication mechanism using Keycloak, LDAP. Setup the CI-CD pipeline for entire backend and frontend through jenkins. Implemented the common discussion forum for users via Discourse an open source discussion forum. Worked in the UPI P2M Fraud Model to mitigate the fraud risk of UPI ecosystem by declining the transactions on real time with a hit rate of 80 % and false positive ratio of 1:20. Implemented the service code for the same via Python Falcon. Developed Cybersafe and Ministry of Home Affairs API’s, which provides fraud realted information in realtime to all police stations across India with a success response rate of 99.99 % for UPI, IMPS, AEPS. Developed the API for the same via Python, Falcon, Celery, Redis, ElasticSearch. Implemented the speech to text service for voice enabled payments system through Vakyansh model. Developed the intent and named entity recognition models for both english and hindi via BERT and Muril model. Developed the end to end model service pipeline through containerized microservice architecture using Docker, Flask, GRPC for incoming audio stream data through NATS, and deployed on GCP.

Coursework included Data Structures and Algorithms, Object Oriented Programming, Probability and Statistics, Linear Algebra, Computer Networks, Operating Systems, Artificial Intelligence, Machine Learning, Statistical Learning, Database Management Systems, Data Mining.