---
title: "Anushka Gupta - Web Development Intern in Gorakhpur | Tal"
description: "Meet Anushka Gupta, CSE Undergrad at NIT Arunachal | Walmart CodeHers’25 Finalist | Ex-Intern @ IIT Guwahati | 500+ @Leetcode | Amazon FFE Scholar based in Gorakhpur. AI stack includes antigravity and codex."
image: "https://tal.club/meet/anushka-gupta-6/share-image"
---

# Anushka Gupta on Tal

## Headline

CSE Undergrad at NIT Arunachal \| Walmart CodeHers’25 Finalist \| Ex\-Intern @ IIT Guwahati \| 500\+ @Leetcode \| Amazon FFE Scholar

## About

I’m an enthusiastic and driven individual, always striving to reach new heights in both personal and professional growth\. I have a genuine passion for learning and believe in embracing every moment with curiosity and joy\. I’m highly committed to the work I take on, consistently giving my full effort and dedication\. With a strong ability to adapt to new environments and challenges, I view change as an opportunity to learn, evolve, and bring a fresh perspective with a positive mindset\. I’m always eager to learn, experiment, and collaborate—whether it's building scalable systems, diving into machine learning, or improving user experience\. Currently exploring opportunities to grow as a Software Engineer or ML Intern\.

## Location

Gorakhpur

## AI stack

antigravity

codex

## Work experience

Web Development Intern at testAIng\.com, Jun 2025 \- Aug 2025 · 3 mos, Remote, During my internship at testAIng\.com, I developed responsive UI components and integrated RESTful APIs, enhancing the overall user experience\. Working closely with backend engineers in an Agile/Scrum setting allowed me to contribute effectively to timely project deliveries\. My experience here has strengthened my skills in React\.js, Tailwind CSS, and API integration\.

ML Intern at Indian Institute of Technology, Guwahati, Dec 2024 \- Dec 2024 · 1 mo, Guwahati, During my internship at the Indian Institute of Technology, Guwahati, I focused on enhancing deep learning models for water contamination detection\. By fine\-tuning a CNN\-based model, I improved its classification accuracy from 80% to 85%\. Additionally, I developed an image preprocessing pipeline that increased validation accuracy by 5%, while also documenting the model architecture to support collaborative research efforts\.

## Education

Bachelor of Technology \- BTech, Computer Science, National Institute of Technology Arunachal Pradesh

[View the original profile](https://tal.club/meet/anushka-gupta-6)

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