Madan Ballupet Venkatesh

Leading development of an AI-powered digital banking platform using Java, Spring Boot, and event-driven microservices. Architected backend services with Kafka, Redis, PostgreSQL, and AWS Lambda, improving transaction throughput by 45% while ensuring high availability and reliable inter-service communication. Integrated AI/LLM capabilities using Python and REST APIs to automate customer support workflows, reducing response time by 60% and improving customer experience. Implemented secure authentication with OAuth 2.0, JWT, Spring Security, Docker, Kubernetes, and Terraform following OWASP best practices. Optimized CI/CD pipelines using Jenkins, GitHub Actions, Maven, JUnit, and Jest to increase deployment reliability and reduce release failures by 35%. Monitored production systems with Prometheus, Grafana, AWS CloudWatch, and centralized logging, performing root cause analysis and resolving production issues in an Agile Scrum environment.

Contributed to a Cloud Infrastructure Automation Platform by developing Java and Spring Boot microservices to automate virtual machine provisioning and infrastructure request workflows across cloud environments. Built RESTful APIs using Spring Boot, Hibernate, and PostgreSQL to manage infrastructure resources, reducing manual provisioning time by 40%. Implemented data access layers with Hibernate ORM and optimized SQL queries for resource inventory and configuration management, improving database query performance by 30%. Developed responsive UI components with React and REST API integration so administrators could monitor requests and deployment status via a centralized dashboard. Integrated deployment pipelines with Jenkins, Git, and Docker to automate build, testing, and deployment, increasing deployment frequency by 50%. Wrote unit/integration tests with JUnit and validated APIs with Postman while collaborating with QA and business analysts in Agile Scrum to deliver sprint commitme