Gavireddy Gari Laya

Backend Engineer (Java, Spring Boot) | Microservices | Kafka | AWS | Generative AI & Agentic AI Certified | Accenture · near Bangalore

I am a Backend Java Developer with 1+ year of experience building scalable backend systems and APIs. Currently, I work at Accenture where I develop microservices and REST APIs using Java and Spring Boot for enterprise applications. In my role, I have built and deployed more than 10 production APIs and worked on improving system performance by optimizing database queries and implementing caching strategies. I also helped automate CI/CD pipelines using Jenkins, Git, and Maven, which reduced deployment time and improved release efficiency. I regularly collaborate with product teams, QA engineers, and DevOps to deliver reliable backend services in an Agile environment. My technical stack includes Java, Spring Boot, Microservices, MySQL, MongoDB, Kafka, Docker, Kubernetes, and cloud platforms like AWS and Azure. I enjoy solving backend problems, improving performance, and building systems that are scalable and reliable. I am also interested in emerging technologies like AI-driven systems and have built projects involving Agentic AI workflows and LLM integrations. I am always open to connecting with engineers, learning new technologies, and exploring opportunities in backend development and distributed systems.

Experience

Agentic AI Workflow Automation System

Accenture · Jun 2025 – Feb 2026

Not yet confirmed

• Built a goal-driven Agentic AI system using Python and LLM APIs.
• Implemented task planning, autonomous execution, and structured prompt engineering.
• Demonstrated AI-driven workflow automation and decision-making capabilities.

Java Developer

Accenture · Jul 2024 – Feb 2026

Not yet confirmed

• Designed and developed backend services across 5+ enterprise modules using Java and Spring Boot.
• Delivered 10+ RESTful APIs within microservices architecture, improving response performance by 15%.
• Resolved 25+ production defects, improving system stability by 18%.
• Automated CI/CD workflows reducing release cycle time by 30%.
• Implemented Kafka and RabbitMQ processing 5,000+ asynchronous messages daily across 4+ services.
• Achieved 85%+ unit test coverage using TDD practices, reducing regression defects by 20%.
• Supported containerized deployments using Docker and Kubernetes in AWS/Azure.