Aruna User
@arunauser
Generative AI Engineer building LLM-powered chatbots, RAG systems, and automated WhatsApp workflows that improve booking operations.
What I'm looking for
I’m a Generative AI Engineer focused on shipping practical LLM solutions in production. At Epic Holidays, I designed an AI-powered WhatsApp automation system for venue booking operations, integrating Meta LLaMA 3.1 via the Groq API to enable conversational experiences.
I implemented Retrieval-Augmented Generation (RAG) for venue-related answers using business knowledge, and improved efficiency by replacing RAG for certain workflows with tool calling to reduce token usage and increase response quality. I also fine-tuned LLaMA 3.1 8B Instruct using LoRA on a custom Q&A dataset, then deployed the model using RunPod GPU infrastructure and Hugging Face.
Beyond AI, I built the full workflow and admin experience: I automated booking processing by extracting booking details from WhatsApp conversations and storing them directly in the admin dashboard. I developed a role-based dashboard with React.js, Node.js, Express.js, and MySQL, created REST APIs, integrated WhatsApp bot functionality into the web app, and maintained deployments on AWS EC2. I earned my B.Tech in Information Technology (April 2024) and continue strengthening my foundations through certifications like Java Basics and Database Management Systems.
Experience
Work history, roles, and key accomplishments
Generative AI Engineer
Epic Holidays
Sep 2025 - Present (10 months)
Designed and developed an AI-powered WhatsApp automation system for venue booking operations, integrating Meta LLaMA 3.1 via the Groq API and using RAG to answer venue-related queries. Built intelligent booking workflows and a role-based admin dashboard using a React + Node.js/Express stack with REST APIs and MySQL.
Education
Degrees, certifications, and relevant coursework
Panimalar Engineering College
Bachelor of Technology, Information Technology
Grade: 9.30 / 10
Earned a Bachelor of Technology in Information Technology at Panimalar Engineering College, graduating in April 2024 with a CGPA of 9.30/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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