---
title: "Shafaque Amber - Scholar@SAP | AI Security • ML Systems • GenAI in Bengaluru | Tal"
description: "Meet Shafaque Amber, AI Security Engineering | LLM Red Teaming | Adversarial ML | Building AI-Driven Security Automation based in Bengaluru. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/shafaque-amber/share-image"
---

# Shafaque Amber on Tal

## Headline

AI Security Engineering \| LLM Red Teaming \| Adversarial ML \| Building AI\-Driven Security Automation

## About

Working at the intersection of Adversarial Machine Learning, LLM Security, and Offensive Security Automation, with 1\.8 years of hands\-on experience building and securing AI systems\. Skilled in PyTorch, LangChain, LangGraph, RAG architectures, and multi\-agent systems, with practical exposure to FGSM, PGD, BadNets, OWASP LLM Top 10, and MLSecOps practices\. Focused on developing AI\-native security solutions that improve system robustness, reduce manual effort, and accelerate vulnerability detection and remediation\. Currently a Scholar at SAP Labs, contributing across AI/ML engineering, offensive security testing, and GenAI platform development on SAP AI Core and BTP\. Experience includes working on AI security research, red teaming workflows, and automation\-driven pentesting systems, with an emphasis on building scalable and secure AI\-driven applications\. Looking ahead, aiming to specialize in AI Security Architecture, LLM Red Teaming, and MLSecOps at scale, with a focus on securing production\-grade GenAI systems\. Interested in building research\-driven, real\-world security solutions and contributing to the development of trustworthy and resilient AI systems\.

## Location

Bengaluru

## AI stack

cursor

opencode

claudecode

## Work experience

Scholar@SAP \| AI Security • ML Systems • GenAI at SAP, Aug 2024 \- Present · 2 yrs 1 mo, Bengaluru, 🔹 GenAI Development — \(Jan 2026 – Present\) \- Built RAG\-driven pipelines for ABAP code analysis and S/4HANA migration automation, generating Clean Core recommendations and structured code\-fix proposals from ATC findings using knowledge retrieval, similarity validation, and metadata\-enriched LLM outputs \- Continuing to independently build and ship AI security tooling \- including adversarial ML systems, agentic penetration testing frameworks, and LLM red teaming pipelines \- as active side projects alongside current role 🔹 AI Security Engineering — \(May – Dec 2025\) \- Designed and deployed a suite of AI\-native offensive security systems \- spanning adversarial ML research, multi\-agent penetration testing, vulnerability triage, and autonomous payload generation \- end\-to\-end across the full offensive security lifecycle \- Replaced manual pentesting and revalidation workflows with agentic automation pipelines, combining static request analysis, dynamic execution, and context\-aware retrieval \- enabling real\-time traffic classification, intelligent payload mutation, and scalable vulnerability validation across integrated security tooling ecosystems 🔹 Applied AI/ML Development — \(Sep 2024 – Mar 2025\) Engineered production\-scale ML pipelines for document validation and duplicate detection, leveraging multi\-modal inference \(transformer\-based NLP \+ contrastive CV embeddings\) with vector similarity search to deliver precision/recall\-optimized performance at scale

Internship Trainee at INFONSL SECUNET PVT\. LTD\., Aug 2023 \- Jun 2024 · 11 mos, Ranchi

## Education

Master of Technology \- MTech, BITS Pilani Work Integrated Learning Programmes

Bachelor's degree, Information Technology, st\. xavier's college, ranchi

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

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