---
title: "Shubham Kumar - AI Security Researcher in Aligarh | Tal"
description: "Meet Shubham Kumar, AI Security Researcher | LLM Red Teaming | AI & ML Developer | Full Stack | Embedded Systems based in Aligarh."
image: "https://tal.club/meet/shubham-130/share-image"
---

# Shubham Kumar on Tal

## Headline

AI Security Researcher \| LLM Red Teaming \| AI & ML Developer \| Full Stack \| Embedded Systems

## About

Self\-taught ML developer\. Started from mechanical engineering, figured out the rest along the way\. Currently building production ML systems at Qriocity — computer vision, GANs, LLMs, agentic pipelines, across fintech, retail, and ecommerce clients\. On the side, I red team LLMs\. Disclosed vulnerabilities in Sarvam AI's Indus, Sarvam 105b model and KissanAI's Dhenu — findings included system prompt extraction, prompt injection, and architectural injection\. Interested in AI security, responsible disclosure, and building things end\-to\-end\.

## Location

Aligarh

## Work experience

AI Security Researcher at Part\-time, Dec 2025 \- Present · 8 mos, Remote, • Red teamed Mistral's Le Chat — bypassed content safety guardrails across political disinformation, weapons synthesis, and cyberattack methodology\. Extracted full production system prompt despite explicit anti\-extraction instructions\. Responsibly disclosed to Mistral \(April 2026\)\. • Red teamed Sarvam AI's Indus 105B — disclosed system prompt extraction, multilingual phishing content generation, and ANSI escape injection\. Sarvam acknowledged findings; published case study forthcoming\. • Red teamed KissanAI's Dhenu agricultural chatbot — uncovered full system prompt extraction in 4 turns, \[Language\] tag architectural routing flaw, and persona override vulnerabilities\.

Machine Learning Engineer at Qriocity, Feb 2024 \- Apr 2026 · 2 yrs 3 mos, Aligarh, Uttar Pradesh, India, • Delivered client ML systems across fintech, ecommerce, and retail — spanning computer vision \(CNNs,ViTs\), GANs, multimodal architectures, LLMs, RAG pipelines, and agentic AI across multiple engagements\. • Built virtual try\-on systems combining 2D/3D rendering with GAN\-based image synthesis for a retail client,enabling real\-time product visualization\. • Developed recommendation systems and multimodal models deployed in production across multiple client verticals\. • Built AI\-powered cybersecurity tools and a fraud detection system using NLP and graph analytics to identify fraud rings in transaction networks\. • Led a team of 4 ML engineers across parallel projects — handled architecture decisions, code reviews, and delivery\.

Deep Learning Intern at FireLLama Technology Pvt Ltd, Oct 2023 \- Feb 2024 · 5 mos, Aligarh, Uttar Pradesh, India, • Fine\-tuned MobileNetV2/V3 with SegNet decoder for pixel\-wise semantic segmentation of tables in document images • Built a table recognition system to extract and structure tables into Excel format while preserving layout\. • Developed a multi\-table layout detection pipeline and combined it with OCR into a production ready document intelligence pipeline\. • Deployed RESTful APIs with FastAPI and Flask for client\-server integration\.

## Education

Bachelor of Technology \- BTech, Mechanical Engineering, Dr\. A\.P\.J\. Abdul Kalam Technical University

[View the original profile](https://tal.club/meet/shubham-130)

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