Nikunj Pansari

• Architected high-availability cloud-native microservices on Spring Boot, Kubernetes, and PostgreSQL for a production eGov platform. • Built low-latency secure REST APIs with strong observability, monitoring dashboards, and resilience. • Led architecture, scalability strategy, debugging, and cross-team incident resolution across distributed systems. • Integrated AI-driven services into backend workflows, enabling real-time inference.

• Engineered high-throughput distributed APIs ensuring fault tolerance, reliability engineering, and production resilience. • Improved system efficiency (12%) through backend optimization, testing practices, and workload performance engineering. • Strengthened availability, monitoring, and operational stability under production traffic

• Designed and implemented distributed compute pipelines and backend services supporting large-scale parallel workloads. • Enhanced algorithmic efficiency, concurrency handling, and system throughput, reducing latency by 14%. • Optimized parallel execution workflows across cloud-integrated distributed infrastructure.

• Developed real-time distributed AI inference systems for safety-critical ADAS deployments. • Achieved 14% latency reduction while ensuring secure, compliant, and resilient architectures

• Drove CI/CD modernization and modular microservices architecture, accelerating delivery by 40%. • Improved system reliability, uptime, monitoring, and fault tolerance across distributed enterprise platforms. • Designed scalable backend systems emphasizing maintainability, debugging, and performance optimization.