Vivek Vellaiyappan Surulimuthu

About Vivek Vellaiyappan Surulimuthu

Engineer with nearly a decade of experience spanning AI, Platform Engineering, and Developer Experience, driven by the principle of using technology to solve real-world problems and empower human lives. I thrive on building solutions that bridge innovation with measurable business impact.At Expedia Group, I spearheaded KAI, an AI-powered assistant contributing to a $98M opportunity, architected EG Console Connect (740+ weekly active users, top-5 enterprise extension), and reduced VRBO onboarding from 120 minutes to under 10, unlocking conversion potential for 49K+ abandoned properties. My infrastructure optimizations saved $86K annually, while my earlier work at Tesla delivered $1.2M in annual savings through real-time quality assurance.Beyond enterprise impact, I actively advance the AI community through open-source projects such as mcp-pandoc (51K+ monthly downloads, 385+ stars as of Sep 2025) and cag-js for browser-based AI context expansion. I’ve also co-authored publications on context engineering and AI in software teams, reflecting my drive to push boundaries in applied AI.I bring expertise in RAG, AI Agents, React, TypeScript, GraphQL, Kubernetes, and Cloud Infrastructure, paired with a strong record of mentoring engineers, modernizing testing frameworks, and shaping engineering culture. My passion is advancing AI’s role in enterprise software to deliver solutions that empower teams, accelerate adoption, and create lasting human and business impact.AI Research Publications- CAG: Novel architecture overcoming Chrome\'s Gemini Nano context window limitations for large document processing.(Link: https://arxiv.org/abs/24•••••08)~ https://vivekvells.com-Technologies: AI Agents, Model Context Protocol (MCP), Context Engineering, Prompt Engineering, RAG, Databricks, Google A2A, Amazon Bedrock, Langfuse, LangGraph, LlamaIndex, Langchain, Cursor, Kiro, BrowserUse, Spec Driven Development (SDD), Copilot, ReactJS, TypeScript, JavaScript, Tailwind CSS, SCSS, Micro Frontend, REST API, GraphQL, NodeJS, ExpressJS, Python, Kotlin, Playwright, Browser Extensions, Docker, Kubernetes, Helm charts, Jenkins, Spinnaker, Splunk, Datadog, Git SCM, Jira, Agile, Scrum

Experience

1. Senior Software Development Engineer Ai Ml Engineer

   Expedia Group

   Apr 2026 — Present · Austin, TX, US

   Architecting and leading the migration of Vrbo\'s partner virtual assistant from a legacy platform to a modern AI agent platform techstack, owning system design, production readiness, and phased rollout while leading a team of 3 engineers and driving alignment across 4+ teams. Now, live in production with zero critical errors and scaling toward full legacy decommission, laying the foundation for future conversational AI agentic chat experiences.• Built an LLM-powered pipeline that converts unstructured property listing data into validated, standardized output, reducing partner onboarding time from 45–120 minutes to under 10 minutes and removing a key friction point in the partner onboarding journey.

Education

• A.V.B. Matriculation Higher Secondary School

  Computer Science

• Sri Krishna College of Engineering and Technology

  Bachelor of Engineering (BEng), Electronics and Communication Engineering

• Marist University

  Master's degree, Computer Science

• Sri Ramakrishna Mission Vidhyalaya Higher Secondary School

  Secondary School Leaving Certificate (SSLC), Mathematics and Computer Science