Worked on application that leveraged Elasticsearch for search capabilities of big datasets

Developed microservices using SpringBoot to handle large stream of alerts, process them based on custom user/customer defined rules. Enhanced customer notification experience of alerts by designing system that provides flexibility & efficiency in alerting based on customer's needs and custom rules.

Collaborated extensively in requirements gathering, designing, architecting microservice based solution in CI/CD deployment based in Kubernetes. Configured Helm charts to deploy pods and clusters in Kubernetes. Coordinated with cross-functional teams to build the system E2E.

Worked with Threat analysts regularly to determine new set of endpoint threats and incorporate updates into our applications that is consistent with company goals and product performance.

Delivered an instant credit card approval system successfully with a focus on Fraud Detection that was used for client partners. Involved in complex database schema design in MongoDB which also served as analytics source for downstream team partners

Developed new features for fraud platform rule engine system that comprised of Vert.x, React and Kafka. Such a system catered to business analysts and business critical teams in the Cards fraud department.

Implemented storage utility to store fraud detection rule datasets in S3 which is streamed from Kafka for analysis.

Integrated new machine learning models to the fraud decision platform for real-time detection of third-party and first-party fraud. Enhanced the performance of the platform with Redis based caching solution.

Implemented an authentication layer for Candlepin(Subscription and Entitlement Management) using OpenId Connect concept and Keycloak to enable Single sign-on

Developed new endpoints and functionality to Candlepin project using Java, Hibernate and JAX-RS. Added new CLI commands for subscription manager tool in Python.