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GenAI Security Researcher | AI Red Teamer | Offensive Security Author of AATMF /P.R.O.M.P.T/ SEF frameworks| 20+ CVEs | Same Attack, Different Substrate
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CVE-2026-3288
March 10, 2026 – Present
Walkthrough: ingress-nginx Configuration Injection via rewrite-target Annotation
View ProjectClaude-Red
March 4, 2026 – Present
claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a specific attack surface — from SQLi to shellcode, EDR evasion to exploit development.
View Projectjustdastit
February 27, 2026 – Present
The Burp You Can Afford — Open-source CLI DAST toolkit
View ProjectThe-LLM-Red-Teamer-s-Playbook
February 20, 2026 – Present
A diagnostic methodology for bypassing LLM defense layers — from input filters to persistent memory exploitation.
View ProjectBurp-MCP-Security-Analysis-Toolkit
January 24, 2026 – Present
Burp MCP Security Analysis Toolkit
View ProjectSnailHunter
January 23, 2026 – Present
SnailHunter is a fully automated bug bounty hunting platform that combines traditional security tools with AI-powered analysis.
View ProjectXposure
December 21, 2025 – Present
fully autonomous credential intelligence platform that discovers, │ │ extracts, correlates, verifies, and reports exposed secrets across your │ │ target's entire attack surface.
View ProjectKubeRoast
August 10, 2025 – Present
From-scratch, red-team–oriented Kubernetes misconfiguration & attack-path scanner. Fast, readable, and opinionated toward real-world escalation paths.
View ProjectAATMF-Adversarial-AI-Threat-Modeling-Framework
February 10, 2025 – Present
AATMF | An Open Source - Adversarial AI Threat Modeling Framework
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on offensive security, red teaming, and vulnerability research. While this demonstrates deep technical expertise in a niche area, it suggests a very specialized interest. For a general 'Software Engineer' role, there might be a mismatch in breadth of experience and typical software development lifecycle involvement. The candidate's experience level is listed as 0, which contradicts the depth of their projects, suggesting either a misclassification or a very early career stage with significant self-taught expertise. This specialization might limit their adaptability to broader software engineering tasks outside of security.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate a strong independent drive and focus on specialized security domains.