Feb 2024 – Present · 2 yrs 1 mo · Hyderabad, Telangana, India · On-site

• Project: Loan Against Mutual Fund (LAMF)
• Optimized core loan processing system by migrating 21 SQL Stored Procedures into Node.js APIs, reducing execution time from 9 minutes to ~4 seconds, significantly improving loan approval turnaround.
• Engineered high-performance APIs enabling instant loan disbursement against mutual fund units, contributing to ₹30+ Cr in revenue and adoption by 27+ leading Asset Management Companies (AMCs).
• Deployed microservices on AWS ECS, integrated with NLB for high availability, AWS Secrets Manager for secure credential handling, and API Gateway for API management and request routing.
• Implemented CI/CD pipeline with Jenkins, automating build, test, and deployment processes, resulting in faster release cycles and reduced manual intervention.
• Developed a real-time logging API, enabling frontend teams to track process status and performance metrics live, improving transparency and troubleshooting efficiency.
• Collaborated with cross-functional teams (business, operations, and infra) to deliver scalable solutions aligned with compliance and high transaction volumes.
• Project : Investor Onboarding Replatforming
• Re-architected a legacy monolithic system into a microservices-based Spring Boot architecture, resolving data corruption issues, optimizing queries, reducing CPU utilization, and significantly improving data consistency and processing speed.
• Implemented advanced backend features including API rate limiting, transactional rollback mechanisms, centralized exception handling, and real-time structured logging for enhanced system resilience.
• Designed and deployed scalable AWS data pipelines (Firehose → S3 → Athena) for real-time log ingestion, monitoring, and analytics across high-transaction volumes.
• Containerized microservices using Docker, deployed to AWS ECS/ECR, and automated continuous delivery via Jenkins CI/CD pipelines, ensuring high availability and rapid release cycles.