MSc Cybersecurity graduate (Distinction, Coventry University) with hands-on offensive and defensive security experience. From building custom vulnerability-assessment pipelines to deploying honeypots with threat-intel enrichment and explainable ML intrusion detection — seeking a role in penetration testing, SOC analysis, or wider security operations.
I'm an MSc Cybersecurity graduate from Coventry University (Distinction) with hands-on experience across both offensive and defensive security. On the offensive side, I built VASTA — a custom Python vulnerability-assessment pipeline that discovers and validates XSS, SQLi, LFI, open-redirect, and CORS flaws without relying on external scanners. On the defensive side, I deployed a Cowrie honeypot with threat-intel enrichment and MITRE ATT&CK mapping, and built an explainable ML-based intrusion detection system.
My journey into security is rooted in a BTech in AI & Data Science from KLH University (First Class with Distinction, CGPA 8.55/10). This foundation in artificial intelligence, machine learning, and data analytics isn't just an academic background — it actively shapes how I approach security. I've applied ML classifiers (Random Forest, scikit-learn) and explainability frameworks (SHAP) to network threat detection, and I'm deeply interested in the intersection of AI and cybersecurity: from adversarial machine learning and AI-powered threat hunting to AI security governance and the risk assessment of AI-generated code and third-party SaaS integrations.
I hold Microsoft Azure, Oracle Cloud, and Google Cybersecurity certifications, and I'm currently working towards CompTIA Security+ and CEH. I'm analytical, detail-oriented, and a clear communicator — eager to bring both my security skills and AI thinking to a graduate role in penetration testing, SOC analysis, or wider security operations.
Jun 2026 – Aug 2026 · Coventry University
Built a fully custom Python vulnerability-assessment pipeline covering the recon and discovery phases of a web pen test (subdomain enumeration, live-host detection, endpoint, sensitive-file and directory discovery) with no reliance on external scanners. Implemented active checks and pattern-based triage for XSS, SQLi, LFI, open redirect and CORS misconfigurations, validated against DVWA, Testfire and Metasploitable.
Deployed a Cowrie SSH/Telnet honeypot in Docker to capture live attacker activity. Built a Python pipeline enriching sessions with GeoIP, AbuseIPDB and VirusTotal IOC data and mapping attacker commands to 14+ MITRE ATT&CK techniques in a Plotly threat-intelligence report.
Coventry University, United Kingdom
Grade: Distinction | Dissertation: 75%. Specialist module in Ethical Hacking & Penetration Testing, covering practical offensive and defensive techniques.
KLH University, India
Grade: CGPA 8.55/10 (First Class with Distinction). Foundation in AI, data science and programming — a strong analytical base for data-driven threat detection and security analytics.
SIEM, incident response, threat detection, security operations
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View Certificate →Git fundamentals, repositories, collaboration, GitHub ecosystem
View Certificate →Security fundamentals, threats, architecture, operations
Ethical hacking, penetration testing, vulnerability assessment
CTFs and TryHackMe labs — working out why systems break and how to defend them. Constantly sharpening offensive and defensive skills through hands-on practice.
Cricket, volleyball, and table tennis — building teamwork, quick decision-making, and the competitive mindset that translates directly into security work.
A creative outlet that builds discipline, confidence, and the ability to perform under pressure — skills that matter in high-stakes incident response.
I'm a recent MSc Cybersecurity graduate looking for opportunities in Security Operations, SOC analysis, and vulnerability management. Whether you have a question or just want to say hi, my inbox is always open.