Cybersecurity & AI Researcher

Selvaguru
Sethuraman

Building secure systems at the intersection of AI and cybersecurity.

terminal — bash
Selvaguru Sethuraman

About Me

I'm a cybersecurity and AI researcher with an MSc in Computer Forensics & Cybersecurity from the University of Greenwich, London. I specialize in penetration testing, AI-powered security systems, and building secure data pipelines at the intersection of offensive security and applied AI. My work includes automating SOC workflows with RAG and building LLM-driven security intelligence platforms.

2+

Years Experience

3

Certifications

2

AI Projects

Details

Master's degree, Computer Forensics and Cybersecurity

University of Greenwich · London, UK · 2022 – 2023

Bachelor of Engineering, Computer Science and Engineering

K. Ramakrishnan College of Engineering · Trichy, India · 2017 – 2021

Chennai, India

Cybersecurity & AI Researcher @ QantusLab

Open to research & consulting roles

Technical Skills

Pentesting Tools

NmapBurp SuiteOWASP ZAPPostmanSQLMapManual Testing

SIEM & Monitoring

SplunkCustom AI Log Monitor

Languages & Scripts

PythonLinux BashC

Frameworks

FlaskFastAPILangchainLanggraph

AI Tools

Claude CodeCodexGemini CLIOllama

Standards

OWASP Top 10ISO/IEC 27001PCI

Experience

Freelance AI Solutions Engineer

Qantuslab

Remote

July 2025 – Present
  • Founded and operate Qantuslab, a personal freelance platform for delivering AI automation, custom AI development, and intelligent business solutions to clients in India and the UK.
  • Built a custom RAG system and AI automation workflows for Pacific Creation (pacificcreation.in), streamlining their business operations and content management.
  • Developed AI-powered automation solutions for Uzavan, enabling efficient scaling of business processes through intelligent agent systems.
  • Designed and deployed a custom AI sales agent for a UK-based client that automates lead qualification, meeting scheduling, and follow-ups, significantly reducing manual workload.
  • Implemented end-to-end AI pipelines using LangChain, FastAPI, vector databases, and LLM integrations tailored to each client's specific requirements.

Product Security Intern (Unpaid)

NM Software Solutions

London, UK

January 2025 – June 2025
  • Conducted black-box and white-box penetration tests on web applications and APIs, identifying high-risk vulnerabilities aligned with the OWASP Top 10 and delivering actionable remediation guidance using Burp Suite, ZAP, SQLMap, and Postman.
  • Developed and executed proof-of-concept exploits to validate vulnerabilities in APIs and backend services; verified fixes and regression-tested endpoints post-remediation.
  • Correlated SIEM (Splunk) logs with test activity to detect real-world exploitation paths, performed root-cause analysis, and supported rapid incident response workflows.

Trading Assistant (IT Support)

Sainsbury's

London, UK

October 2022 – June 2025
  • Provided first-line technical support for POS and self-checkout systems, resolving hardware and software issues in real time to minimise downtime.
  • Troubleshot payment failures, system errors, and connectivity issues across a high-volume retail environment.
  • Managed inventory data using handheld devices and internal systems; performed system-based stock audits and ensured data accuracy across pricing and product information systems.
  • Escalated complex technical issues to relevant support teams, ensuring timely resolution and system continuity.

Projects

AI Linux Agent

A distributed system enabling remote Linux command execution through natural language prompts via an AI-powered web interface. Uses Google Gemini + LangChain for command decomposition, real-time WebSocket communication, and Firebase authentication. Supports multi-machine monitoring and complex operations like installation, file management, and service control.

FastAPILangChainGoogle GeminiVue.js 3WebSocketsMongoDBFirebaseDocker

RAG as a Service (QantusLab)

A multi-tenant RAG platform enabling users to build personalized knowledge bases from documents and web content, accessible via REST API and MCP (Model Context Protocol). Features a unified 768D embedding system, Qdrant vector database with tenant isolation, and supports PDF, DOCX, web scraping, and semantic search.

FastAPILangChainOllama llama 3.1QdrantPostgreSQLCeleryRedisReact 19Docker

Certifications

CompTIA PenTest+

CompTIA

Ethical Hacking Essential

EC-Council

Certified Network Security Specialist

ICSI

Get In Touch

Open to research collaborations, security consulting, penetration testing engagements, and full-time roles. Feel free to reach out through any of the channels below.

selvaguru2017@gmail.com
+91 9600703266
linkedin.com/in/selvaguru-sethuraman