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👋 Codethief831, from Bengaluru, India 🧠 CyberSecurity | Ethical Hacking | AI & ML 🚀 Creator of Hacki-Nator 📚 Studying CSE | Passionate Cyber Security
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AGENT_AnOnMuSk
April 7, 2026 – Present
An AI-powered, high-autonomy security agent that bridges the gap between static scanners and manual interception. **Agent AnonMusk** automates the Bug Bounty Methodology Checklist while generating "Burp Suite Mimic" scripts for manual verification.
View ProjectAURA-RECON
April 3, 2026 – Present
Aura-Executive is an automated, async-driven bug bounty orchestrator capable of aggressive and passive reconnaissance using modern utilities in a unified pipeline. It employs a ReAct cognitive framework (THOUGHT, ACTION, OBSERVATION, REFINEMENT) structurally to map an organization's attack surface deeply before testing vulnerabilities
View ProjectAutoPT
January 14, 2026 – Present
Comprehensive automated security testing and penetration testing framework for Windows and Linux
View ProjectVAPT-report-automation
December 12, 2025 – December 12, 2025
VAPT-report-automation — GitHub repository
View ProjectAutoVAPT-AI-Based-Vulnerability-Scanner-Pentest-Tool
June 13, 2025 – June 26, 2025
AutoVAPT is an open-source GUI tool for automated Vulnerability Assessment and Penetration Testing. It integrates OWASP ZAP, CVE/CVSS enrichment, AI-based analysis, and custom recon tools—built for cybersecurity professionals, bug bounty hunters, and researchers.
View ProjectCYBER_MENTOR_AI
February 4, 2025 – February 13, 2025
Welcome to Cyber Mentor AI, your one-stop web application for vulnerability scanning, report generation, and downloadable PDF summaries. This platform is crafted for cybersecurity enthusiasts and professionals alike, combining simplicity with power to make web security accessible and actionable.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in cybersecurity, demonstrating a deep passion and expertise in this specific area. While this indicates strong domain alignment for a cybersecurity role, the target role is 'Data Scientist'. There is a significant mismatch between the candidate's demonstrated project experience (cybersecurity tools, automation, penetration testing) and the typical requirements for a Data Scientist role (statistical modeling, machine learning for data analysis, predictive analytics, data visualization, big data technologies). The projects do not showcase core data science skills or experience, leading to a low cultural fit score for the specified target role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for automation and problem-solving within the cybersecurity domain. The focus on creating comprehensive tools suggests an independent and proactive work attitude. However, without psychometric test results or direct interaction, assessing specific soft skills like teamwork, stress handling, or communication clarity in a collaborative environment is not possible.