---
title: "Teja Nadella - Artificial Intelligence Intern in Gudlavalleru | Tal"
description: "Meet Teja Nadella, Aspiring AI/ML Engineer | Data Scientist | Former AI Intern @ AtBlink | Python | LLMs, RAG, Agentic AI, & Machine Learning based in Gudlavalleru. AI stack includes antigravity, claude code, and github copilot."
image: "https://tal.club/meet/nadella-teja/share-image"
---

# Teja Nadella on Tal

## Headline

Aspiring AI/ML Engineer \| Data Scientist \| Former AI Intern @ AtBlink \| Python \| LLMs, RAG, Agentic AI, &amp; Machine Learning

## About

I’m an AI/ML Engineer and Full\-Stack Developer passionate about building practical AI solutions that solve real\-world problems\. My experience spans Generative AI, Agentic AI, LLMs, RAG, LangChain, LangGraph, FastAPI, Python, and full\-stack development\. I enjoy taking ideas from concept to production by combining AI models with scalable backend systems and intuitive user experiences\. I’ve worked on projects involving RAG\-based automation, AI\-powered SDLC, intelligent SQL automation, multi\-agent systems, and AI\-driven platforms, using technologies such as Python, Java, FastAPI, PostgreSQL, MongoDB, Hugging Face, AWS Bedrock, Groq, and Docker\. I’m also passionate about DSA and problem solving, with 200\+ problems solved on LeetCode, while continuously improving my software engineering fundamentals\. 🚀 What I’m focused on: • Generative AI &amp; LLM Applications • Agentic AI &amp; Multi\-Agent Systems • RAG &amp; AI Automation • Machine Learning &amp; Data Science • Backend &amp; Full\-Stack Development • Building scalable, production\-ready AI products I’m always curious, continuously learning, and looking for opportunities to build impactful AI products, solve challenging problems, and grow with innovative teams\.

## Location

Gudlavalleru

## AI stack

antigravity

claude code

github copilot

langchain

langgraph

langsmith

## Work experience

Artificial Intelligence Intern at AtBlink, Jan 2026 \- Jun 2026 · 6 mos, Hyderabad, Built a Retrieval\-Augmented Generation \(RAG\) pipeline for automated medical document processing, improving information retrieval accuracy and reducing manual review time\. • Developed and deployed n8n automation workflows to integrate multiple systems, streamlining end\-to\-end AI\-driven data pipelines\. • Applied prompt engineering and LLM best practices to real\-world healthcare AI applications, ensuring reliable and accurate outputs

Internship Trainee at SmartInternz, May 2024 \- Jun 2024 · 2 mos, "As a Machine Learning Intern at Smart Internz\!\! I have the opportunity to work on cutting\-edge AI projects that are transforming the way businesses operate\. My role involves developing and implementing machine learning models, conducting data analysis, and optimizing algorithms to solve complex problems\.

## Education

Bachelor of Technology, Information Technology, SESHADRI RAO GUDLAVALLERU ENGINEERING COLLEGE

Electronics and instrumentation, A\. A\. N\. M\. &amp; V\. V\. R\. S\. R\. Polytechnic College

[View the original profile](https://tal.club/meet/nadella-teja)

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