A Computer Science graduate specialising in Cyber-security with interest in cyber security, AI and emerging technologies. I am currently preparing for the CompTIA Security+ certification while continuing to develop my practical skills through cybersecurity projects, security research, and hands-on learning.
My cybersecurity interests include:
- Malware Analysis
- Digital Forensics & Incident Response
- Web Application Security
- Security Operations
- AI & Machine Learning for Cybersecurity
Undergraduate dissertation investigating graph-based deep learning approaches for detecting Linux malware from system-call graphs. Achieved 97.09% accuracy using a dynamic GIN model
Alongside cybersecurity, I have developed projects involving:
- Machine Learning & Reinforcement Learning
- Software Development
- Mobile Application Development
- Artificial Intelligence
- UI/UX Design
Implemented Value Iteration, Policy Iteration, and Q-Learning agents using Markov Decision Processes and reinforcement learning principles.
Developed a cross-platform Flutter prototype focused on smart home control, energy efficiency, and user engagement.
- Languages: Java, Python, C/C++, HTML/CSS, JavaScript, NodeJS, SQL, R , OCaml, PDDL
- Tools:Flutter, Figma, Justinmind
- Forensic: Autopsy, FTK Imager, Scalpel, Bulk Extractor, Guymager, OSForensics
- 3rd Place– University Hackathon (Game Development): Built a complete game prototype in a team under time constraints, showcasing strong problem-solving and development skills.
- Runner-Up– Sustainability Packaging Competition: Designed an eco-friendly dual-purpose inflatable jute bag after 6 months of research and development.
- Cyber Incident Response and Digital Forensics Certification: Gained foundational skills in incident response procedures and digital evidence analysis.