Arpit Singhal

Software Engineer

JPMorgan Chase & Co.

06.2022 - Current

AWS S3 API Development: Designed and optimized high-performance AWS S3 APIs using the AWS SDK to handle large-scale data transfers. Implemented a throttling mechanism to balance API calls, reducing resource consumption and improving performance by 30%, while significantly lowering latency.
Authorization Framework: Architected a robust authorization framework in Spring Boot using Aspect-Oriented Programming (AOP). Introduced custom annotations to enforce fine-grained access control, securing critical endpoints and mitigating unauthorized access to sensitive account data.
Bulk Profile Upload Automation: Developed an automated bulk profile onboarding system leveraging Excel file processing. This solution eliminated manual data entry errors, reduced onboarding time, and streamlined the process, significantly increasing operational efficiency.
Blockchain Deployment Scripts: Automated the deployment of Quorum Blockchain Smart Contracts, integrating Eventeum event registration for real-time monitoring. Developed comprehensive unit tests in Solidity, ensuring contract reliability and seamless transaction tracking.
Token Flow Visualization: Built a simulation utility to visualize token transactions in financial default processes. Utilized in-memory Java collections for efficient data handling and integrated the Force Graph library to generate dynamic, interactive visual representations of transaction flows.
Profile Onboarding Service: Led the development of a scalable profile management system with a built-in maker-checker approval workflow to maintain data integrity and compliance. Designed and implemented React UI components for an intuitive user experience, seamlessly interacting with a Spring Boot backend.
Java 17 Migration: Spearheaded the migration of COTA microservices to Java 17, modernizing logging, upgrading Docker configurations, and optimizing deployments. Managed production releases through Kubernetes and Jenkins CI/CD pipelines, ensuring stability and efficiency.