• Malware Analysis – Developing proficiency in static and dynamic analysis, with an emphasis on execution flow, Windows internals, and reverse engineering.
• Offensive Machine Learning – Exploring adversarial examples, model evasion, and security implications of ML systems from an attacker's perspective.
• CTF & Reversing – Solving structured challenges to strengthen exploitation, binary analysis, and reverse-engineering skills.
• Computer Networks & Connected Systems – Building a stronger understanding of network protocols, software-defined networking, network architecture, and the security of connected systems, with a growing interest in IoT and resource-constrained environments.

My digital notes document hands-on experiments, CTF writeups, reverse-engineering exercises, malware-analysis workflows, and cybersecurity research. → Explore the full collection of technical notes & writeups

LLM-Assisted Binary Analysis, Source Reconstruction & Code Diversification Research project exploring automated reconstruction of readable and compilable C/C++ code from compiled binaries using Ghidra, compiler-aware analysis, dependency recovery, API resolution, and LLM-assisted source refinement. The project also investigates code-transformation and obfuscation techniques for evaluating their impact on static antivirus detection and binary analysis.

Multithreaded C & OpenSSL Encryption Toolkit
A practical study of parallel processing and memory management through AES-256 implementation.

MITRE ATT&CK Test Library
Active contributor to open-source defense validation and detection engineering tests.

Software-Defined Networking & Network Topology Analysis A networking project focused on simulating and analyzing network topologies using Software-Defined Networking (SDN) and Mininet.