MSc Cybersecurity Student    ·  Security Researcher ·  AI-ML

🧑‍💻 About Me I'm Shreyas, a postgraduate student pursuing an MSc in Cybersecurity at Newcastle University, UK, with a strong technical foundation spanning full-stack development, machine learning, and security engineering. My work sits at the intersection of building and breaking I'm equally comfortable architecting robust web applications as I am analysing vulnerabilities, reverse engineering binaries, or probing network protocols. My current research investigates the dynamics of hallucination propagation in multi-agent LLM collaboration, exploring how factual errors cascade and amplify across networks of cooperating language models a problem with significant implications for the trustworthiness of AI systems in high-stakes environments. My broader research interests span AI-driven threat detection, digital forensics, and the evolving landscape of offensive security techniques. I approach cybersecurity not just as a discipline but as a mindset — one that demands curiosity, rigour, and a commitment to staying ahead of an ever-changing threat environment.

• 🔐 Passionate about offensive & defensive security, threat modelling, and secure system design
• 🌐 Experienced in full-stack development — from APIs to polished front-end interfaces
• 🤖 Interested in the intersection of machine learning and cybersecurity (anomaly detection, malware analysis, adversarial ML)
• 📖 Actively involved in security research — reading papers, writing up findings, and exploring novel attack surfaces
• 🛠️ Always building: labs, tools, write-ups, and proofs of concept

Penetration Testing       Network Security        
Vulnerability Analysis    Cryptography           
Malware Analysis          Secure Code Review          
CTF Challenges                 

Tools & Frameworks: Kali Linux Burp Suite Wireshark Metasploit Nmap

Languages

Frontend

Backend & DevOps

Machine Learning

• 🧠 AI/ML Security — adversarial attacks, model robustness, and ML-based threat detection
• 🕵️ Digital Forensics & Incident Response — memory forensics, log analysis, artifact recovery
• 🌐 Web & Network Security — application vulnerabilities, protocol analysis, traffic inspection
• 🔒 Cryptography & Privacy — applied cryptographic protocols, privacy-preserving computation
• 📡 Threat Intelligence — OSINT methodologies, attribution, and adversary profiling

"Security is not a product, but a process." — Bruce Schneier