Cybersecurity consultant at with a strong interest in Digital Forensics, Governance, Risk & Compliance
(GRC), Purple Teaming, and Quantum Cryptography. Passionate about security operations, incident response, and building
hands-on security projects focused on system resilience, threat detection, and cloud security.
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Developed full Command & Control (C2) system in Python.
Designed secure bot-client architecture with encrypted communication.
Skills: Python, Networking, Red Team Ops, Linux
Developed an intelligent monitoring platform for Kubernetes clusters capable of detecting real-time threats (SQL injection, XSS,
brute-force attacks) and system instabilities (CrashLoop, OOM) using Machine Learning models (Isolation Forest + spaCy NLP).
Designed an automated Incident Response engine using Celery and Redis, triggering 5 kubectl-based remediation playbooks
(restart, patch, rollback, IP blocking) with circuit breaker and rollback window mechanisms.
Deployed cloud infrastructure on AWS using Terraform (VPC, RDS, ALB) with a complete CI/CD pipeline powered by GitHub
Actions and a real-time React 18 dashboard.
Achieved results including: latency under 5 seconds, processing of 500 logs/second, ML detection accuracy above 90%, and
reduction of TTIR from 45 minutes to less than 5 minutes
Web application built with Symfony focusing on vulnerability exposure + mitigation.
Identified & tested: SQL Injection, XSS, authentication flaws, session hijacking.
Skills: PHP/Symfony, OWASP Top 10, Secure Coding, Pentesting
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