---
title: "Rineeth Chandavarapu - AI Agent in Bengaluru | Tal"
description: "Meet Rineeth Chandavarapu, Full Stack Developer | AI Developer | GSC 2025 | PACE 26 |Google Student Ambassador 25| Former Al Intern @ InternForte based in Bengaluru. AI stack includes aistudio, antigravity, and cursor."
image: "https://tal.club/meet/rineeth-chandavarapu/share-image"
---

# Rineeth Chandavarapu on Tal

## Headline

Full Stack Developer \| AI Developer \| GSC 2025 \| PACE 26 \|Google Student Ambassador 25\| Former Al Intern @ InternForte

## About

I am an aspiring AI developer passionate about building real\-world solutions using artificial intelligence, machine learning, and cloud technologies\. Currently, I am actively working on projects that combine AI, automation, and modern development practices to solve practical problems\. As part of the Google Solutions Challenge 2025, I developed EduAI, an AI\-powered system that transforms traditional learning into engaging video\-based content using advanced AI models\. I have gained hands\-on experience through internships and programs, including working as an AI intern at InternsForte and participating in Google Cloud initiatives through GDG On Campus\. I also serve as a Google Gemini Student Ambassador, exploring the latest advancements in generative AI\. Beyond technical skills, I enjoy taking initiative and building impactful solutions\. As the founder of OurFirstCode, I focus on creating web and AI\-based projects while continuously learning and improving\. I am particularly interested in: AI Agents & Generative AI Machine Learning & Data\-Driven Systems Cloud Computing \(Google Cloud Platform\) Building scalable real\-world applications I am always open to learning, collaborating, and exploring opportunities in AI and software development\.

## Location

Bengaluru

## AI stack

aistudio

antigravity

cursor

gemini

ollama

openai

## Work experience

AI Agent at Kaggle, Nov 2025 \- Dec 2025 · 2 mos, Remote, Developed an intelligent AI agent as part of the Kaggle Agents Intensive Capstone Project, focusing on solving real\-world tasks using agent\-based architectures\. Built an autonomous AI agent capable of performing multi\-step reasoning and task execution Integrated agent capabilities such as decision\-making, tool usage, and contextual memory Designed the system to handle real\-world workflows by breaking complex problems into smaller actionable steps Applied concepts of agentic AI including planning, execution, and evaluation Demonstrated how AI agents go beyond chatbots by interacting with tools and performing actions This project is part of a capstone initiative where participants build AI agents to solve practical problems or improve productivity using real\-world scenarios

Google Student Ambassador at Google Student Ambassadors \(India\), Aug 2025 \- Jan 2026 · 6 mos, Ongole, Andhra Pradesh, India, Lead AI initiatives on campus, organize workshops and hackathons, encourage the creative use of Gemini AI, promote Google technologies, and build student tech communities

AI Intern at IntrnForte, Jun 2025 \- Jan 2026 · 8 mos, Bengaluru, Karnataka, India, Completed an AI internship at InternsForte, where I worked on real\-world machine learning applications focused on predictive analytics\. Developed a Customer Insurance Purchase Prediction system using machine learning techniques Implemented and compared multiple classification models including Logistic Regression, KNN, Support Vector Machine \(SVM\), Decision Tree, and Random Forest Performed data preprocessing, feature scaling, and exploratory data analysis \(EDA\) to improve model performance Evaluated models using accuracy metrics and visualization techniques to identify the best\-performing algorithm Demonstrated how AI\-driven insights can support business decision\-making and customer targeting strategies

AI Developer – Google Solutions Challenge 2025 at Hack2skill, Jan 2025 \- Jul 2025 · 7 mos, Noida, Uttar Pradesh, India, Participated in the Google Solutions Challenge 2025, organized through Hack2Skill, where I developed an AI\-driven solution addressing real\-world problems aligned with UN Sustainable Development Goals\. Built EduAI, an AI\-powered platform that converts traditional lesson content into engaging video\-based learning Leveraged Google Vertex AI and Gemini AI for intelligent content generation and automation Focused on enhancing digital education and improving student engagement Collaborated with a team to design, develop, and present a scalable solution Applied design thinking, problem\-solving, and AI development methodologies

## Education

Bachelor's degree, Mechanical Engineering, Pace Institute of Technology & Sciences

Intermediate, MPC, Narayana Junior College \- India

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

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