Aditya Poluru

Build and maintain resilient risk engines which bolsters member experience with Passive Authentication and monitor their sessions by obtaining probability risk score for each.

Projects:

Zelle Fraud model

Account Take Over Fraud Project

CyberArk Migration Project

RSA Adaptive Authentication

Fraud Behavioral Model

Fraud FIAP

Key Responsibilities:

• Developing and enhancing fraud models for Zelle, ACH and Wires transfers using Spring Boot & Java, which helps to fight against payments fraud
• Integrating applications with several Microservices to obtain probability risk score
• Developing Fraud recon models in Java SE batch, Apache Nifi to combat payments fraud
• Providing fraud statistics with using IBM DataStage and Grafana dashboards
• Supporting Python-based Machine learning model by providing data with Apache Nifi and Cassandra for learning
• Led development team successfully to deliver project on time
• Migrating all Non-Human user accounts to Cyber-Ark for enhanced security in Core Java
• Migrating all Java Web Services to use Cyber-Ark credentials by using Active Directory group
• Creating Solution design and source-to-target mapping for several ETL flows in ITM DataStage application
• Integrating Fraud model applications with external vendors like RSA, to fetch Risk Score of members
• Migrating Classic RSA Adaptive Authentication application to Talon Open shift with Java and Spring Boot
• Developing Apache Nifi flows for RSA Eco facts project
• Creating IGrafx flows for several Fraud applications according to BBAC Standards
• Creating Control documents for IGrafx flows according to BBAC standards

Risk Support Tool Key Responsibilities:

• Understanding and analyzing functional requirements and developing Spec docs and context diagrams
• Developing Core Java logic in collaboration with Hibernates and Spring Batch
• Integrated application with US government vendors to fetch driver details
• Integrated Motor Vehicle report system with Risk Support tool to get better predictions on insurance amount based on driver and vehicle history
• Testing MVR and RST applications and Production support.
• Ensured seamless integration of Java-based applications with databases, APIs, and other systems
• Documented code clearly and consistently to facilitate easy understanding by fellow developers during maintenance or updates