Security researcher · Adversarial AI · LLM red teaming · Best Paper NCTAAI 4.0 · HTB Top 5% · Builder: T.E.M.P.E.S.T · ARKEN · MIMIC
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Assessing your cultural and operational fit
RAV3N-sec
April 17, 2026 – Present
AI + Regex Vulnerability Scanner for Python/JS. Local, pip-installable
View ProjectT.E.M.P.E.S.T
October 25, 2025 – Present
Threat-surface Enumeration: Modules, Ports, Extensions, Schedules & Tasks ALL IN POWERSHELL
View ProjectM.I.M.I.C.
July 24, 2025 – Present
Motion Imitation Mechanism for Input Camouflage. This ML-driven project generates hyper-realistic, human-like mouse movements to challenge and bypass advanced detection systems in sandbox environments. Tool for robust security testing and behavioral evasion research.
View ProjectSPH1NX
June 9, 2025 – June 9, 2025
SPH1NX: A Python-based network scan detector for TCP Null/UDP scans with JARVIS-like voice alerts for critical ports (FTP, Telnet, etc.) and a real-time UI dashboard. Powered by Scapy for cybersecurity enthusiasts!
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal, research-oriented, and security-focused projects. While this demonstrates initiative and a passion for technology, there is no direct evidence of experience in collaborative team environments or projects aligned with typical enterprise frontend development. The projects are diverse in their security focus but lack breadth in standard web development frameworks and practices relevant to a 'React Frontend Engineer' role. The absence of experience and education details makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for independent work and problem-solving, particularly in niche technical areas like cybersecurity. However, there is no direct data to assess collaboration, communication, or stress handling in a team environment. The psychometric test score is 0, providing no insight into these areas.