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Yudayamadhavi Chelluri

@yudayamadhavichellur

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Gen AI intern building LLM-powered agents and RAG applications using Python and LangChain/LangGraph.

India

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What I'm looking for

I’m looking for a role where I can build LLM-powered multi-agent and RAG systems, ship usable AI features with Python/SQL, and grow with a team that values communication, teamwork, and strong problem solving.

I’m a Gen AI intern currently building LLM-powered AI agents, multi-agent systems, and MCP-enabled applications. At AMDOCS, I develop RAG applications, conversational AI, and tool-integrated systems with memory management, vector databases, tool calling, and enterprise APIs using LangChain, LangGraph, Agent SDKs, Platform SDKs, and Hugging Face.

I back that work with practical machine learning projects: I engineered a multi-model fitness system using Random Forest and built a 7-day predictive progress tracker with Scikit-learn, plus a customer churn prediction model trained on 2,000+ records and wrapped it in an interactive Streamlit web app. I’ve also earned a HackerRank SQL (Basic) certification and completed Generative AI fundamentals training, and I bring a team-first mindset through roles like Training and Placement Coordinator and Inter-NIT badminton team Girls Captain.

Experience

Work history, roles, and key accomplishments

Gen AI Intern

Amdocs

Feb 2026 - Jun 2026 (4 months)

Built LLM-powered AI agents and multi-agent workflows using LangChain and LangGraph, including MCP-enabled applications. Developed RAG and conversational AI solutions with memory management, vector databases, tool calling, and enterprise API integrations.

LLMs (LangChain LangGraph Hugging Face Multi Agent Systems Vector Databases Conversational AI

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Agartala

Bachelor of Technology, Electronics and Communication Engineering

2022 - 2026

Grade: CGPA: 7.69

Activities and societies: Gen AI Intern (AMDOCS) Feb–Jun 2026 building LLM agents, MCP-enabled apps, RAG and automation pipelines; projects: Health Fitness App (Random Forest + 7-day predictive tracking) and Customer Churn Prediction (ML + Streamlit); SQL (HackerRank) and SAWIT.AI GenAI fundamentals; Training & Placement Coordinator (2025–26) and Inter-NIT girls badminton captain (2024–25).

B.Tech in Electronics and Communication Engineering at NIT Agartala (2022–2026) with CGPA 7.69.