Ajay Sai Bingi

Led development of scalable Java microservices with Spring Boot and Kubernetes for TurboTax and QuickBooks, delivering 99.99% uptime; built responsive UIs with React and TypeScript, reducing page load latency by 30% in high-traffic financial workflows; designed RESTful APIs and optimized PostgreSQL and MongoDB to deliver sub-100ms queries; implemented resilient systems with Resilience4j and Redis caching; automated CI/CD with Jenkins and GitHub Actions enabling 40% faster deployments with blue-green releases; provided on-call incident response and SLA adherence during peak tax season; collaborated across product, SRE, and design teams to deliver AI-driven features increasing engagement by 20%.

Developed scalable Spring Boot microservices processing over 50k vehicle telemetry events per second; built React + WebSocket dashboards enabling real-time diagnostics and a 25% UX improvement; optimized PostgreSQL and Cassandra with sub-100ms latency for high-volume time-series data; implemented Kafka-based event streaming and reduced downtime by 30% during fleet OTA updates; deployed on Azure with Docker/Kubernetes and automated CI/CD via GitLab; tuned JVM and Redis messaging to support 500k simulated vehicles with 99.95% availability.

Developed Spring Boot microservices supporting enterprise banking and e-commerce platforms, processing over 100k daily transactions; built RESTful and GraphQL APIs using Spring Data JPA and Hibernate, optimizing Oracle and PostgreSQL queries for sub-50ms responses under peak loads; integrated asynchronous messaging using RabbitMQ and Kafka, enabling scalable workflows and a 30% throughput improvement; implemented Redis caching and Resilience4j circuit breakers to reduce latency and prevent cascading failures; automated CI/CD pipelines using Jenkins and Azure DevOps with SonarQube validations; led production support resolving incidents quickly and maintaining system stability.