---
title: "Raghava N - AI Security Research Intern in Greater Coimbatore Area | Tal"
description: "Meet Raghava N, AI Security Research Intern ’26 @ NUS | AI-Driven Malware Research Intern ’24 @ DIAT-DRDO | 3x Hackathon & 1x CTF Winner | Cybersec | LLM | AI Agents | Found security vulnerabilities in ISRO, *.gov.in, ntu.edu.tw based in Greater Coimbatore Area. AI stack includes codex and claudeco..."
image: "https://tal.club/meet/raghava-n/share-image"
---

# Raghava N on Tal

## Headline

AI Security Research Intern ’26 @ NUS \| AI\-Driven Malware Research Intern ’24 @ DIAT\-DRDO \| 3x Hackathon &amp; 1x CTF Winner \| Cybersec \| LLM \| AI Agents \| Found security vulnerabilities in ISRO, \*\.gov\.in, ntu\.edu\.tw

## About

$whoami Cybersecurity and AI Researcher bridging the gap between offensive security and intelligent systems\. Proven track record of identifying critical defects in national infrastructure \(ISRO, NCIIPC\) and building autonomous AI agents\. Expertise in VAPT, Malware Analysis, DevSecOps, and Agentic RAG systems\. TECHNICAL SKILLS \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- \* AI/ML: Agentic AI, LLMs \(Gemini 2\.0 Flash\), Multi\-Agentic RAG, ML\-driven IDS\. \* Security: Malware Analysis \* Development: MERN Stack, Python \(PyPI Contributor\) CORE CYBERSECURITY ACHIEVEMENTS \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- \* ISRO \[July 2024\]: Reported a Critical CVSS 9\.2 vulnerability in infrastructure\. \* NCIIPC \(Govt\. of India\) \[Sept 2023\]: Discovered 5\+ vulnerabilities in \*\.gov\.in subdomains; officially recognized\. \* TW\-CERT \[June 2024\]: Acknowledged for securing National Taiwan University \(NTU\) systems\. HACKATHONS &amp; AWARDS \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- \* Runner Up: HyperVerge AI Hackathon \[April 2025\] \- INR 15,000 \* Winner: Byte Sized Brainstorm AI Hackathon \[April 2024\] \- INR 25,000 \* Top 15/840: Dark Patterns Buster Hackathon, IIT \(BHU\) Varanasi \[Feb 2024\] \* Runner Up: Googleathon 2\.0, GDSC SNS Institutions \[Nov 2023\] \* Semi\-finalist: Tiruppur Road Safety Ideathon \(StartupTN\) \[Oct 2023\] TECHNICAL PROJECTS &amp; LEADERSHIP \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\- \* Technical Lead &amp; Core Member: Google Developer Student Club \(GDSC\) at CIT\. \* Open Source: Published and maintains an active Python package on PyPI\. \* AI Research: Developed Multi\-Agentic RAG systems using Gemini 2\.0 Flash\. \* Project Delivery: Deployed 10\+ full\-stack projects across AI and Security\. \* Team Leadership: Earned 40,000\+ INR in rewards across multiple winning teams\.

## Location

Greater Coimbatore Area

## AI stack

codex

claudecode

## Work experience

AI Security Research Intern at National University of Singapore, Jan 2026 \- May 2026 · 5 mos, Singapore

DevSecOps Intern at HyperVerge, Dec 2025 \- Dec 2025 · 1 mo, Bengaluru, \- Built a GitLab CI/CD pipeline to streamline sensitive credential leak detection, identifying 120\+ exposed API keys\. \- Developed GitHub and Postman scanning workflows by combining the GitHub Search API and Selenium automation, analyzing 500\+ code collections for credential exposures\. \- Automated threat detection workflow that processed 130\+ mobile apps to uncover security misconfigurations\. \- Validated candidate keys against the internal authentication API, reducing false positives by 70%\. \- Integrated the pipeline with a Slack bot to deliver real\-time alerts, initially identifying 35 client\-leaked API keys and subsequently running weekly to monitor production environments and public repositories\.

AI\-Driven Malware Research Intern at Defence Institute of Advanced Technology \(DIAT\), DU, DRDO, Jul 2024 \- Dec 2024 · 6 mos, Pune City, \- Configured a sandboxed malware analysis lab using FlareVM and REMnux, analyzed 50\+ malware samples, producing detailed behavioral traces and IOCs\. \- Performed in\-depth static and advance malware analysis using open\-source tools such as FLOSS, Binwalk, Procmon, Volatility, PEStudio, RegShot, extracted 100\+ indicators of compromise, and mapped malware behaviors\. \- Researched polymorphic and metamorphic malware generation with Large Language Models \(LLMs\) and documented quantitative results across 50\+ samples\. \- Created Multi AI agent Architecture with LLM to compare 3 different prompt strategies \(Direct, Indirect and Adversarial prompts\)\. \- Utilized AI agents to compare Direct vs\. Adversarial prompt strategies, measured comparative success rates \(highest with adversarial prompts\), and generated 51 compiled and 35 executable malwares using LLMs\.

## Education

M\.Sc\. \(Integrated 5 years\), Coimbatore Institute of Technology

Bachelor of Science, Computer Science \(Data Science\), Indian Institute of Technology, Madras

## Public links

- github: https://github\.com/raghavavidyapriya

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

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