Software Development Engineer 1 at Cashfree Payments (2026-06 – Present)
- Improved payment success rates by 18% by designing fallback gateway routing for volumetric payment traffic, minimizing transaction failures during gateway degradation events
- Reduced infrastructure expenditure by 30% by re-architecting asynchronous processing from Redis-backed queues to a delta-ratio based execution strategy, simplifying system operations
Software Engineer Intern at Cashfree Payments (2025-07 – 2026-05)
- Led end-to-end development of a promotional offers platform in Java and Spring Boot, serving 500+ merchants processing over Rs. 100Cr monthly GMV
- Reduced API latency by 40% through MySQL composite indexing, JPA Criteria API optimizations, and query performance tuning across high-traffic payment services
- Built a fault-tolerant distributed subscription billing system in Java 17 with Redis locking, idempotency guarantees, and Spring Scheduler, processing over 8,000 recurring payments/day
- Lowered messaging infrastructure costs by 30% by migrating event-driven payment pipelines from Apache Kafka to Redis Streams, sustaining over 5,000 events/minute
Google Summer of Code Contributor at OpenELIS Global (2025-05 – 2025-09)
- Architected a Spring Boot backend module integrating Open Concept Labs REST APIs, automating 50+ healthcare lab parameter mappings across facilities in 5 countries
- Implemented a query engine using Spring Data JPA Specifications with React-based admin interfaces, enabling composable filtering across 200+ configurations
Software Engineer Intern at Open Network for Digital Commerce (ONDC) (2024-12 – 2025-03)
- Developed a concurrent GraphQL-to-REST adapter in Golang for Shopify integration using goroutines and channels, onboarding 1,500+ sellers with sub-100ms latency
- Designed and deployed containerized microservices across 6 services using Docker Compose, Go, and AWS EC2, achieving 99.5% uptime
- Constructed observability using Prometheus exporters tracking p50/p95/p99 Go API latency and seller funnel metrics, reducing downstream failures by 35%
