Cybersecurity Innovation Lab

A fully isolated, virtualized laboratory designed to simulate real-world cyberattacks and test defense mechanisms. This environment enables hands-on research in attack methodologies and defensive countermeasures, including malware analysis in controlled conditions, penetration testing against hardened systems, and development of incident response playbooks and procedures. The lab is segmented into multiple network zones to simulate enterprise infrastructure complexity.

Capabilities: Vulnerability scanning and exploitation testing, network traffic analysis and packet inspection, reverse engineering and malware behavioral analysis, incident timeline reconstruction, attack chain identification and mitigation strategies. Technologies: VirtualBox, Kali Linux, Wireshark, Metasploit, OWASP tools, custom test scenarios

Incus Linux Containers

A comprehensive implementation of enterprise-grade Linux containerization using Incus. This infrastructure project demonstrates advanced systems architecture principles through management of distributed microservices, data persistence strategies, and fault tolerance mechanisms. The system handles multiple service tiers including application containers, database instances, and specialized storage nodes.

Infrastructure Components: Multi-tier container orchestration with automated deployment and scaling, ZFS storage layer providing snapshots and data integrity verification, network isolation and inter-container communication, backup and disaster recovery procedures with point-in-time restoration, performance monitoring and resource optimization.

Operational Capabilities: Live container migration between hosts, zero-downtime updates and rollbacks, automated resource allocation based on workload demands, comprehensive logging and audit trails, access control and security isolation. Technologies: Incus/LXC, ZFS (Copy-on-Write filesystem), Linux (RHEL/Debian), Bash scripting, container networking, volume management

Infrastructure Automation & DevOps

A comprehensive automation framework orchestrating deployment, configuration, and maintenance across hybrid infrastructure environments. This project demonstrates infrastructure-as-code principles through declarative system configuration, automated remediation of configuration drift, and intelligent scheduling of maintenance windows to minimize operational disruption.

Automation Capabilities: Intelligent file synchronization with change detection and conflict resolution, cross-platform service management with dependency tracking, orchestrated multi-step deployment workflows with rollback capabilities, performance monitoring and automated alerting for anomalies, backup automation with retention policy enforcement.

Implementation Features: Agent-based and agentless execution models, templated configuration management for consistency across systems, automated testing and validation before production deployment, scheduled maintenance automation with change approval workflows, integration with version control systems for configuration tracking. Technologies: PowerShell (Windows), Bash/Python (Linux), Rsync (data synchronization), Cron/Task Scheduler, API integration, SSH/WinRM for remote execution

Personal Programming Portfolio

Extensive, multi-year programming portfolio spanning twelve different languages with hundreds of completed projects demonstrating comprehensive full-stack development expertise. Projects range from entertainment applications and interactive systems to enterprise infrastructure automation and advanced algorithmic solutions.

Development Domains: Game development with custom engines and physics simulation, enterprise desktop applications with complex GUIs, backend systems processing thousands of records, Linux and Windows automation reducing manual administrative overhead, database design and optimization for large datasets, mathematical algorithm implementation including cryptographic systems, web-based applications and API integration, real-time data processing and analysis systems.

Core Language Proficiencies: Python for data processing, scientific computing, and automation; Java and C# for object-oriented enterprise systems; GameMaker for interactive entertainment with event-driven architecture; C for systems programming and performance-critical code; Visual Basic .NET and AutoIt for Windows application development; Bash and PowerShell for infrastructure automation; SQL for database design and complex queries; and specialized languages for domain-specific problems.

Technical Capabilities Demonstrated: Multi-threaded and concurrent application design, database integration and optimization, object-oriented design patterns and SOLID principles, event-driven architecture, API design and integration, algorithm optimization and performance analysis, game engine systems and physics simulation, network communication and socket programming, encryption and cryptographic implementations, version control and collaborative development.

Development Environment & Practices: Cross-platform development (Linux, Windows, macOS), cloud-based development using VS Code, Git version control with collaborative workflows, Docker containerization for consistent deployment, automated testing and CI/CD practices, code documentation and technical documentation, agile development methodologies.

Personal Infrastructure Lab

A comprehensive home lab demonstrating enterprise-grade infrastructure design on a personal scale. This project showcases advanced containerization and automation techniques using Fedora Linux with Incus container orchestration.

Core Components:

• Cloud Storage & Collaboration: Centralized private cloud storage with integrated document editing, database backend, and SSL/TLS encryption via reverse proxy
• Media Management: Automated content management and streaming platform with multi-format support and API-driven queue coordination
• Request Management: Intelligent content request processing and orchestration with coordinated service automation
• Post-Processing: Distributed computing resource allocation for background workloads and data processing tasks
• Data Persistence & Backup: Advanced storage layer with snapshot capabilities, data integrity verification, and redundancy mechanisms

Architecture Highlights: Incus container orchestration, Fedora Linux host OS, YAML-based infrastructure-as-code, ZFS storage layer for snapshots and data integrity, automated cron job scheduling, reverse proxy configuration (SWAG), dynamic DNS management (DuckDNS), multi-tier networking with container isolation

Technologies: Incus (LXC), Fedora Linux, ZFS Storage, PowerShell, Bash, MariaDB, YAML, SWAG (NGINX), DuckDNS, Plex Media Server, NextCloud, Collabora Online