---
title: "Riya Tyagi - Artificial Intelligence Engineer Intern in New Delhi | Tal"
description: "Meet Riya Tyagi, Hansraj’ 23| Ex - DRDO Intern · Headstarter AI | University of Delhi’26 based in New Delhi. AI stack includes antigravity, claude code, and hugging face. Explore public work links including github."
image: "https://tal.club/meet/riya/share-image"
---

# Riya Tyagi on Tal

## Headline

Hansraj’ 23\| Ex \- DRDO Intern · Headstarter AI \| University of Delhi’26

## About

I'm a Computer Science postgraduate at the University of Delhi \(2026\), specialising in Machine Learning, Natural Language Processing, Artificial Intelligence, Computer Vision, and Data Science — with a background that spans research, industry, and product engineering\. I interned as a Research Intern at DRDO \(Ministry of Defence\), working on deep learning for medical image analysis under Scientist\-E mentorship\. I've also shipped production AI applications as a Software Engineering Fellow at Headstarter AI, working with Next\.js, Firebase, and OpenAI APIs in an agile team\. What I bring: the ability to go from raw data to deployed model, an eye for what metrics actually matter, and experience communicating findings to both technical and non\-technical audiences\. Currently open to full\-time roles and internships in Data Analyst, Data Science, AI/ML Engineering — particularly in healthcare, fintech, or enterprise tech\.

## Location

New Delhi

## AI stack

antigravity

claude code

hugging face

langchain

n8n

openai

## Work experience

Artificial Intelligence Engineer Intern at eTeam, Mar 2026 \- Jun 2026 · 4 mos

Research Intern at DRDO, Ministry of Defence, Govt\. of India, Jun 2025 \- Jul 2025 · 2 mos, Delhi, India

Machine Learning Intern at HubbleMind, Oct 2024 \- Nov 2024 · 2 mos, Bengaluru, Karnataka, India

Software Engineering Fellowship at Headstarter AI, Jul 2024 \- Sep 2024 · 3 mos, New York, United States, Built and deployed AI\-powered applications in a collaborative agile team across a 3\-month fellowship\. Key contributions: • Implemented a RAG\-based AI chatbot delivering context\-aware responses from a predefined knowledge base\. • Built user authentication workflows using Firebase for a production Next\.js application\. • Worked in a team of 4, following agile sprint cycles and collaborative code review practices\. Skills: Next\.js · Firebase · OpenAI API · RAG · Material\-UI · Agile

Open Source Contributer at JGEC Winter of Code, Jan 2024 \- Feb 2024 · 2 mos

Actuarial Associate at Willis Towers Watson \(WTW\), Jun 2023 \- Mar 2024 · 9 mo, Gurugram

## Education

Master's degree, Computer Science, Department of Computer Science, University of Delhi

Bachelor's degree, Computer Science, Hansraj College

## Public links

- github: https://github\.com/riyatyag\-6

[View the original profile](https://tal.club/meet/riya)

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