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ElectrifyCS/README.md

Hey there! I'm Melli or (ElectrifyCS)

Security Analyst & Software Developer building fail-secure, developer-first security solutions. Specialized in behavioral malware analysis, reverse engineering, and statistical threat detection.


Certifications & Education

  • CompTIA Security+Earned 2024
  • ISC2 Certified in Cybersecurity (CC)Earned 2023
  • B.S. in Computer ScienceIn Progress

Security & Malware Analysis Experience

I specialize in evaluating runtime execution flow, persistence mechanisms, and threat vectors across distinct malware classifications:

  • InfoStealers & Keyloggers: Credential harvesting analysis, keystroke interception techniques, and exfiltration detection.
  • Trojans & RATs: Process injection, memory inspection, living-off-the-land techniques (LoLBins), and C2 communication channels.
  • Ransomware: High-entropy encryption routines, shadow copy deletion mechanisms, and intermittent encryption behavioral modeling.
  • Brute-Force & Exploitation: Automated password spraying, authentication bypass analysis, and security testing via Metasploit.

Scripting & Analysis Fluency

  • PowerShell, Batch & Shell Scripting: In-depth analysis of obfuscated script payloads, malicious command chains, and automated execution traces.

Featured Open-Source Projects

  • Geofencing & Verification Engine for Visitor Management: An open-source spatial boundary verification system leveraging Kalman filtering logic to stabilize telemetry noise, preventing location spoofing and validating secure access/check-in events.
  • Dynamic Threat Detection & Anomaly Processing Suite: An open-source, fail-secure behavioral detection engine using statistical baselining (Kalman/EMA) to provide developers with real-time runtime security feedback in local test suites and CI/CD pipelines.

Technical Skills

  • Languages: Python | C | C++ | TypeScript | PowerShell | Bash
  • Analysis & Security: Behavioral Malware Analysis, Reverse Engineering, Threat Detection, Metasploit, Telemetry Baselines
  • Focus Areas: Threat Engine Architecture, Fraud Prevention Systems, Geofencing & Location Verification Logic

Pinned Loading

  1. Dynamic-Threat-Detection-Anomaly-Processing-Suite Dynamic-Threat-Detection-Anomaly-Processing-Suite Public

    A runtime behavioral monitoring framework I built to detect anomalous process and script activity using statistical baselining.

    Python

  2. Geofencing-for-Visitor-Management-Systems Geofencing-for-Visitor-Management-Systems Public

    A location-based verification system for visitor management that detects spoofed GPS coordinates using multi-factor anomaly detection, adaptive thresholds, and badge/RFID correlation.

    Python

  3. Entropica-Owasp-Audit-Engine Entropica-Owasp-Audit-Engine Public

    Personal research project exploring the mathematical foundations of API security — Shannon entropy, Welford’s algorithm, and differential queue dynamics for detecting OWASP API risks.

    Python

  4. Analyst-Script-Runners Analyst-Script-Runners Public

    This is a unified execution framework designed to streamline penetration testing and malware behavior analysis workflows.

    PowerShell