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Shivam Jhanwar

@shivamjhanwar

Message

I build resilient, low-latency backend systems and AI-driven incident automation for financial microservices.

India

Message

At Deutsche Bank, I build Spring Boot microservices that monitor 40K+ transaction workflows at sub-50ms read latency. I also created replay services, RBAC and rate-limiting layers, and observability pipelines that reduced operational MTTR and initial incident triage time by 60%.

I've built high-throughput Java and Kafka systems, including a multi-tenant webhook engine processing 8,000+ events per second, alongside React-based 3D web experiences and cloud infrastructure on AWS. My work spans distributed systems, AI-powered root-cause analysis, and reliable financial application design.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

Deutsche Bank

Jul 2025 - Present (1 year 2 months)

Engineered core microservices in Spring Boot to monitor and track 40K+ transaction workflows, designing composite database indexes to accelerate multi-stage queries and maintain sub-50ms API read latencies. Built an automated replay service, API Gateway authorization layer, multi-agent incident triage engine, and system health pipelines.

Spring Boot Microservices API Gateway RBAC Token Bucket OpenTelemetry Prometheus Google ADK Multi Agent Systems Java

Software Development Intern

Story Process

May 2024 - Jul 2024 (2 months)

Developed and optimized an interactive 3D web platform using React.js and Babylon.js, improving rendering performance by 25% through asset lazy loading, draw-call reduction, and efficient scene management. Provisioned and managed cloud infrastructure on AWS (EC2, S3), cutting hosting costs by 20% via resource optimization, while integrating the Azure Speech SDK for real-time speech interactions.

React BabylonJS AWS EC2 S3 Azure AI Speech Performance Optimization