I build cybersecurity, detection engineering, automation, and machine learning homelabs focused on incident response, Active Directory security, SIEM analysis, scripting, and defensive validation.

• Windows Incident Response Lab
  Built a Windows incident response and detection lab using Sysmon, PowerShell, ATT&CK mapping, and HTML reporting to investigate host-based activity and document findings.

• University Incident Response Case Study
  Documented a university-level incident response investigation focused on log analysis, attack reconstruction, and defensive reporting.

• Active Directory Security Monitoring with Splunk
  Built a virtualized Active Directory lab with Splunk to analyze Windows authentication events, investigate failed logons, and identify attack-relevant activity through SIEM-based log analysis.

• Active Directory LLMNR Poisoning & Mitigation Lab
  Demonstrated LLMNR poisoning, NTLM hash capture, password cracking, and mitigation through Group Policy and NetBIOS hardening in a controlled Active Directory lab.

• Active Directory, Splunk, and Atomic Red Team
  Used Atomic Red Team to generate security-relevant activity and validate Splunk visibility within an Active Directory lab.

• Phishing Incident Response Playbook
  Created a phishing investigation and response playbook to support repeatable security operations workflows.

• Tenable Nessus Essentials Scan
  Performed vulnerability scanning in a lab environment using Nessus Essentials to identify and review host weaknesses.

• SOAR and EDR Integration and Automation Project
  Built a security automation lab integrating SOAR and EDR concepts to improve response workflows and investigation efficiency.

• SOC Automation Project
  Developed a SOC-focused automation lab demonstrating security workflow orchestration, event handling, and operational efficiency.

• Personal Expense Tracker
  Built a personal finance tracking application to organize and monitor expenses.

• Task Manager Login
  Developed a task management application with authentication and user access control.

• Employee Turnover Analytics using Machine Learning
  Applied machine learning techniques to analyze employee turnover patterns and build predictive insights from HR.

API Security for Connected Cars and Fleets	OWASP API Security Top 10	Securing API Servers
APISEC University	Google Cybersecurity + Security+	CompTIA Security+

NIST RMF SP 800-37	NIST SP 800-53 Controls	NIST SP 800-53A Assessment
NIST SP 800-53B Baselines	CompTIA Security+ Training	CEH v12 Training
CISSP Training	Cyber Security Expert	CompTIA Network+ Training

Caltech AI/ML Bootcamp	Caltech CTME AI/ML Master Class	Applied Data Science with Python
Deep Learning with Keras & TensorFlow	NLP & Speech Recognition	Programming Refresher