Jul 2023 – Present · 2 yrs 11 mos · Bangalore Urban, Karnataka, India · Hybrid

• Developed and implemented a webhook-based instant settlement architecture, automating manual workflows, reducing settlement latency by 29%, and achieving a 3x enhancement in transaction processing speed and routing accuracy.
• Architected and deployed a CLM (Co-lending Model) for lenders including FEDERAL, SIB, and AXIS, encompassing external API integrations, encryption-decryption, and end-to-end workflow orchestration using Zeebe Workflow Engine, ensuring high scalability, fault-tolerant operations, and robust idempotency handling to prevent duplicate transaction postings.
• Architected a scalable loan top-up nudge system leveraging AWS SQS, MongoDB, and Node.js, capable of processing 100K+ customers/day with guaranteed message redelivery and per-loan checkpointing for idempotent retries. Enabled real-time eligibility recalculation post-payment and reduced redundant processing by 30% through on-demand computation and caching. Enhanced
• reliability via Dead-Letter-Queue(DLQ) monitoring, dynamic chunking, and automated alerting with PagerDuty.
• Optimised payment system API’s, reducing latency from 4 sec to 1 sec, by reducing multiple DB calls and indexing.
• Demonstrated strong ownership across multiple backend services and actively mentored junior engineers through code reviews, design discussions, and best practice sessions to improve overall team velocity and code quality.
• Provided on-call support for production issues, leveraging advanced troubleshooting skills to ensure minimal downtime.
• Facilitated cross-team collaboration with tech support, product managers, and business analysts to expedite customer issue resolution and ensure efficient Root cause analysis with a clear understanding of use cases.

Jan 2023 – Jul 2023 · 6 mos · Bangalore Urban, Karnataka, India · Hybrid

• Built robust APIs for direct transfer of customer documents between AWS S3 buckets and MongoDB, resulting in a 40% reduction in manual document handling and increased data security.
• Automated pre and post-validations, replacing manual processes with built-in validations, reducing the risk of errors and enhancing compliance, resulting in a 48% reduction in validation time.
• Delivered end-to-end repayments feature by integrating Razorpay APIs, PostgreSQL database, ensuring data integrity and security.
• Engineered the Jewel Audit System, leveraging automated workflows to track and provide insights on customer jewel status across release, partial release, and loan closure events, eliminating manual intervention and enhancing operational efficiency by 75%.
• Engineered scalable RESTful APIs using Spring Boot and integrated MongoDB, improving data access speed by 30% through optimized query design and efficient data modeling.
• Developed modular, reusable backend components and services in Java/Spring Boot, ensuring high performance, maintainability, and seamless integration with distributed systems.