---
title: "Raghav Chhabra - Data Engineering Intern in Patiala | Tal"
description: "Meet Raghav Chhabra, Ex - Data Engineering Intern @ Axis Bank | TechMCODE 2026 Grand Finalist | Flipkart GRiD 7.0 Semi-Finalist | Ex-AI/ML Intern @ OutriX | BE CSE @ TIET ’27 | Building AI & Data Solutions • Data Science • ML • AI based in Patiala. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/raghav-chhabra/share-image"
---

# Raghav Chhabra on Tal

## Headline

Ex \- Data Engineering Intern @ Axis Bank \| TechMCODE 2026 Grand Finalist \| Flipkart GRiD 7\.0 Semi\-Finalist \| Ex\-AI/ML Intern @ OutriX \| BE CSE @ TIET ’27 \| Building AI & Data Solutions • Data Science • ML • AI

## About

I’m Raghav Chhabra, a Computer Engineering student at Thapar Institute of Engineering and Technology with a strong foundation in Data Structures & Algorithms, Machine Learning, Data Science, and Data Engineering\. I have solved 1000\+ problems on LeetCode, ranking among the Top 15,000 out of 5M\+ users, which has significantly strengthened my analytical thinking and problem\-solving abilities\. I was also a National Semi\-Finalist in Flipkart GRID 7\.0 from over 160,000 participants, selected for the McKinsey Forward Program, advanced to Round 2 of Naukri Campus Young Turks 2025 with an AIR 2654 in the Coding, Data Science & AI track, and chosen among the Top 450 students nationwide for the AlgoUniversity Technology Fellowship\. Currently, I am working as a Data Engineering Intern at Axis Bank's Business Intelligence Unit, where I develop scalable PySpark\- and SQL\-based data quality pipelines, automate analytics workflows using dynamic configurations, and build end\-to\-end reporting solutions for large\-scale customer data\. This experience has strengthened my understanding of distributed data processing, ETL pipelines, and production\-grade analytics systems\. I have also gained experience in deep learning and computer vision through a previous AI/ML internship, where I built and optimized CNN models using PyTorch\. Beyond my internships, I have built end\-to\-end machine learning solutions for time\-series forecasting and recommendation systems, covering feature engineering, model development, evaluation, and deployment\-ready pipelines\. Passionate about applying Machine Learning, Data Engineering, and AI to solve real\-world problems, I enjoy building scalable, data\-driven systems using Python, SQL, PySpark, PyTorch, Scikit\-learn, and modern data science tools, while continuously expanding my expertise in large\-scale data platforms and intelligent systems\.

## Location

Patiala

## AI stack

antigravity

codex

cursor

## Work experience

Data Engineering Intern at Axis Bank, May 2026 \- Jul 2026 · 3 mos, Mumbai

Mckinsey Forward Learner at McKinsey & Company, Oct 2025 \- Dec 2025 · 3 mos, Remote

Contributor at GirlScript Summer of Code, Jul 2025 \- Nov 2025 · 5 mos

AI/ML Intern at OutriX, Jul 2025 \- Aug 2025 · 2 mos, Remote

## Education

Bachelor of Technology \- BTech, Computer Engineering, Thapar Institute of Engineering & Technology

nosegay public school

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

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