About Me

$ whoami

I'm Rahim Gujjar, a 3rd-Semester BSIT student at UOS. I operate as an InfoSec & Systems Analyst, focusing heavily on Digital Forensics, AI Automation, Orchestration, and Architecture.

I am deeply passionate about deconstructing complex systems to their absolute first principles. Operating as an AI-first systems architect and auditor, my work focuses on bypassing high-level abstractions to design deterministic, native solutions. My research spans low-level binary forensics, algorithmic spatial parsing, network DPI evasion, and aggressive system-level security auditing to uncover logical flaws and vulnerabilities that standard tools miss.

My Focus Areas

• AI Orchestration & Systems Architecture: Acting as an AI-first architect—designing the foundational logic, deterministic algorithms, and theoretical frameworks while directing AI for syntax execution. Expertise in Native Systems Integration (JNI/NDK) and Cross-Language Bridging (C++ to Dart FFI) for high-performance, offline mobile environments.
• Low-Level Digital Forensics & Deconstruction: Operating with a strict "debugger" and "auditor" mindset to analyze systems from their fundamental core. Experience in Binary Frame Parsing, intercepting and decrypting SQLite Write-Ahead Logs (WAL) in real-time, applying AES-OFB cryptography, and executing aggressive OS-level permission controls (ADB appops).
• Algorithmic Parsing & System Automation: Bypassing high-level black-box libraries to build deterministic, spatial-geometry data extraction engines (MuPDF). Developing custom automation frameworks that utilize direct DOM mutation, protocol-level manipulation, and multi-threaded processing for zero-fault execution.
• Network Traffic Analysis & Security Auditing: Investigating packet routing, Deep Packet Inspection (DPI) and SNI evasion methodologies, and hostile captive portal mechanics. Applying this low-level systems knowledge to Risk-Based Security Thinking, root-cause analysis, and IT Audit principles.