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Cybersecurity Engineer at Cygne Noir Cyber with 1+ years of hands-on experience. I bridge the gap between offensive security and modern AI, building automation-first tools and agentic workflows that improve detection, response, and operational efficiency.

  Python automation, red team tooling, agent workflows
  Web app pentesting, exploitation, privilege escalation
  AWS & Azure cloud security, Terraform IaC, DevSecOps
  LLM integrations (GPT, Llama), agentic pipelines, SBOM
  Technical researcher — 6 papers, 100K+ blog reads



Work Experience
Current

Oct 2024 – Present

  • Develop Python-based backend systems, APIs, and automation tooling across multiple security product verticals
  • Design and implement agentic AI workflows and modular control pipelines for threat analysis and security automation
  • Contribute to architectural design for MVP-level projects — scalability, maintainability, clear technical boundaries
  • Lead intern/employee training sessions; represent the firm in university talks
  • Drive sprint management, product lifecycle ownership, and cross-domain research initiatives

Freelance

Mar 2024 – Oct 2024

  • Designed proof-of-concept implementations for security research and experimental tooling
  • Developed custom automation scripts for testing, monitoring, and data processing
  • Provided technical writing and review for research papers and documentation

Intern

Jul 2023 – Mar 2024

  • Cloud security assessments across AWS and Azure — misconfigurations and exposure risks
  • Built security-focused Infrastructure-as-Code environments using Terraform
  • Conducted vulnerability research and penetration testing on infrastructure and application components
  • Researched Linux initialization, system hardening, and supply-chain security tooling (SBOM — Trivy, Syft)

First Intern

May 2023 – Jul 2023

  • Developed Python-based red team and security automation tools
  • Assisted with vulnerability assessments, reporting, and remediation validation
  • Researched AWS security rules and early-stage AI applications in cybersecurity

Skills







 
   

Projects

Project Stack Description
GPT-Vuln-Analyzer Python GPT Llama2 PaLM AI-assisted vulnerability analysis with DNS recon and subdomain enumeration across multiple LLM backends
HackBot Python GPT LLM-powered assistant for security analysis, code inspection, and scan result interpretation
CVE-LLM-Dataset Dataset NLP Structured CVE dataset for training and evaluating LLMs on vulnerability intelligence
Startup-SBOM Python Linux SBOM Reverse-engineers Linux boot to produce SBOM-style startup and persistence vector output
QuadraInspect Python Android Automated APK security analysis framework for permission inspection and vulnerability detection
Brute Framework Python Windows All-in-one Windows security testing framework rebuilt from scratch, inspired by PentestBox
Nmap-API Python REST Flask RESTful API wrapper around Nmap for programmatic network scanning via structured endpoints
C2C-Server Python Red Team Command-and-control server demonstrating real-world C2 communication and attack patterns
WinFiHack Python WiFi Windows WiFi automation experiments using native Windows wireless networking libraries
Komo.do-Hub Java Node.js React Native Mobile interface for the Komodo container management platform

Publications

Papers
Domain Title Venue
Cybersecurity & ML API-Based Network Scanning Research Paper
Cybersecurity & ML AI-Based Enumeration and Exploit Suggester JETIR
Cybersecurity & ML AI in Action: Exploiting the Nexus of Cybersecurity Research Paper
Cybersecurity & ML Using Autoencoders for Malware Detection FMDB
Cybersecurity & Cloud Docker-Based Decentralized Vulnerability Assessment FMDB
Network Security & ML ML-Driven Secure Communication for 6G Networks Springer

Certs



TryHackMe


CEH v12    CND
CEH v12  |  CND — EC-Council (Valid 2023–2027)





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