Arun Narayanan
Solution Architect | 10+ Years Experience | Java Ecosystem & Cloud Architecture | Building AI Agents & RAG Systems
- Role
- Solution Architect at IBS Software
- Location
- Kochi, KL, IN
- LinkedIn followers
- 500 followers
About Arun Narayanan
Solution Architect with 10 years of experience designing and scaling robust backend systems, primarily within the Java ecosystem, while increasingly leveraging Python for cutting-edge AI development. I specialize in building high-performance architectures using Spring Boot and Microservices across complex domains like Travel, Finance, and ITSM.Currently, I am bridging traditional enterprise systems with Generative AI. I am actively architecting and building AI agents using Python, focusing on RAG (Retrieval-Augmented Generation) pipelines and autonomous agentic workflows to solve real-world engineering challenges.My approach combines a commitment to clean, quality code with a strategic vision for system scalability, whether I am designing enterprise Java backends or deploying Python-based AI solutions.
Experience
Solution Architect
Nov 2023 — Present · Kochi, IN
Architected and led the development of high-scale backend microservices within the Lodging Offers segment, ensuring the reliability of Tier 1 services critical to Expedia\'s booking funnel.Drove significant restructuring and refactoring of legacy API infrastructures to improve system maintainability, reduce technical debt, and optimize performance for millions of lodging requests.Served as a Lead On-Call Engineer for mission-critical services, managing high-pressure production environments and ensuring 24/7 system availability.Innovation Project: AI-Driven Developer AutomationConceptualized and developed an AI Agent using Python to automate repetitive partner onboarding coding tasks.Engineered an autonomous workflow that interprets natural language queries to modify codebases, create GitHub pull requests, and integrate with Jira to streamline the developer lifecycle.Architected a serverless deployment for AI agents on AWS Lambda, utilizing RAG (Retrieval-Augmented Generation) to provide the agent with deep codebase context.
Education
MGUniversity
Bachelor of Technology - BTech, Computer Science
2011 — 2015
Skills
- Xml
- Html
- Spring Mvc
- Amazon S3
- Software Development
- Python
- Unix
- Ajax
- Jquery
- Web Applications
- Html5
- Postgresql
- C
- Programming
- Integration
- C++
- Web Services
- Linux
- Hibernate
- Javascript
- Jasper Reports
- Java Enterprise Edition
- Github
- Php
- Design Patterns
- Css
- Struts
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