Balaji Mysore

• Led transaction cost optimisation initiatives within PayPal Payments Platform, reducing per-transaction processing fees by 3%, resulting in ~$50 million in annual savings across 120 million daily transactions.
• Drove latency optimisation across critical payment processing layers, reducing end-to-end response time by ~30 ms (15%), by eliminating redundant async API calls and optimizing service orchestration paths.
• Designed and implemented high-throughput, low-latency distributed services using Java, Spring Boot, and Kafka, supporting 1.4K+ TPS payment flows with strict SLA requirements.
• Built and enhanced event-driven architectures using Kafka, improving system decoupling, fault tolerance, and scalability across multiple payment domains.
• Improved system observability by integrating custom metrics, tracing, and JMeter-based load testing, identifying performance bottlenecks under peak traffic conditions (2000 TPS).
• Contributed to large-scale global platform initiatives, supporting payment processing across 50+ countries, multiple currencies, and ensuring high availability and regulatory compliance.
• Conducted design reviews and enforced engineering best practices, improving system resilience, scalability, and deployment reliability across teams.

Key contributions.

• Architected high-availability payment processing systems with 99.99% uptime SLAs
• Designed low-latency service communication patterns for real-time payment execution
• Implemented distributed caching using Juno, reducing read latency by 7%.
• Enabled Kafka-based asynchronous event pipelines for scalable transaction processing.
• Delivered cloud-native deployments on GCP using Docker and Kubernetes, improving deployment efficiency and system reliability.

• Designed and implemented Elasticsearch-powered reporting system, enabling fast querying over large-scale datasets (10M+ records).
• Optimized indexing and query strategies, reducing search latency by 40% and improving report generation speed.
• Built Spring Boot APIs integrating Elasticsearch with frontend dashboards, supporting real-time and ad-hoc reporting use cases.
• Developed data ingestion pipelines to index high-volume data into Elasticsearch, ensuring near real-time data availability.
• Identified and resolved performance bottlenecks, improving system responsiveness under high query loads.

• Developed backend services using Spring Boot and Hibernate, improving data processing efficiency by 7% and reducing query latency by 17 ms.
• Built React-based dashboards for reporting workflows, improving user experience and reducing manual reporting effort by 20%.
• Designed and delivered a full-stack reporting platform used by 5000+ users, enabling faster business insights and reducing report generation time by 15%.
• Led development during high-pressure release cycles, ensuring 100% on-time delivery of critical features.
• Mentored 8+ junior developers, improving code quality and reducing onboarding time.

• Validated functionality of large-scale legacy state government application, ensuring compliance with regulatory and business requirements.
• Designed and executed structured test scenarios, identifying critical defects and improving overall system reliability prior to production releases.
• Collaborated with development teams to triage issues, reproduce defects, and accelerate resolution cycles.

• Developed full-stack reporting applications for a Fortune 500 financial services client, enabling stakeholders to generate and analyze operational data through interactive dashboards.
• Built Spring Boot-based backend services and AngularJS frontend components to support report generation and data visualization workflows.
• Contributed to multiple fast-paced project deliveries, ensuring on-time feature releases and adherence to client requirements.