🚀 Offensive Security | Red Teaming | AI Security | Web & API Pentesting | AWS Security | GenAI Developer
I'm an Offensive Security Engineer with expertise in malware development, red teaming, penetration testing, and AI-driven security solutions. Passionate about cybersecurity research and AI/ML and LLM. I like software development for offensive security and AI.
- Penetration Testing: Web, API, External/Internal, Red/Purple Team
- Red Teaming & Malware Development: Shellcode loaders, AV/EDR evasion
- Secure Coding & Application Security: OWASP Top 10, secure architecture
- Incident Response & Digital Forensics: Reverse engineering, memory forensics and digital forensics
- Cloud Security: AWS Security hardening, automation
- Machine Learning in Security: Adversarial ML, AI-driven threat detection
- A custom DLL shellcode loader that evades EDR detection using syscalls and direct memory injection.
- Modified Havoc and successfully achieved 0% YARA rule detection such as from Elastic, enabling safer in-memory execution via a loader and evading detection by common YARA scans used by Endpoint Detection and Response (EDR) systems.
- A Lsass-dump malware that utilises duplicated handle with AES Encryption to avoid detections.
- A shellcode injector tool to inject shellcode into VBA macros to bypass bypass Attack surface reduction (ASR).
- A web scan tool using AWS lambda function and Fargate.
- This is the Gen AI Intensive Course Capstone 2025Q1 Project which is part of 5-Day Gen AI Intensive Course with Google Participants collaborated on applying Generative AI to the problem of understanding and optimizing residential energy consumption using real-world and simulated datasets.
- A custom C2 framework using Python & PyQt6, Integrating with LLMs to assist threat analysis for advanced red team operations and GenAI assistance.
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Utilised machine learning libraries Panda, Numpy and Matplotlib to analyse security datasets, identified abnormal patterns and data exfiltration attacks using the K-means clustering algorithm, and performed data visualisation using Matplotlib
- A GPT2 script built from Scratch , can be trained on A100 Nvidia GPU about few hours.