I build AI systems that build software
30+ years engineering experience, now focused on autonomous development platforms
About
Seasoned IT engineer with 30+ years of experience in database administration, systems engineering, backend development, and AI-driven automation. Pioneer in autonomous AI development systems, having built production-ready multi-agent platforms that automate the full software development lifecycle. Deep expertise in Python, PostgreSQL, MS SQL, Neo4j, and cloud infrastructure. Creator of the Agentic Server platform and the Genesis Project—autonomous AI ecosystems that plan, code, test, review, and deploy software without human intervention.
Featured Projects
Agentic Server
2024–PresentAutonomous Software Development Platform
An autonomous development platform that watches for tasks and dispatches AI agents to implement them automatically through the complete SDLC.
Key Features
View Technical Highlights
- Architected and built an autonomous development platform that watches for tasks and dispatches AI agents to implement them automatically through the complete SDLC
- Implemented trigger systems using GitHub webhooks, polling, and Notion integration to detect work items and route them to appropriate workflows
- Designed isolated execution environment using git worktrees, enabling parallel agent work across multiple repositories without conflicts
- Built full SDLC workflow automation (Plan → Build → Test → Review → Document → Ship) with automatic PR creation and CI/CD handoff
- Developed domain queuing system to prevent conflicts when multiple issues touch the same codebase areas
- Created Scout scanning capability for proactive codebase analysis (security vulnerabilities, code quality issues, missing test coverage)
- Engineered self-improvement loop allowing the platform to create issues for itself and implement its own fixes
Technologies
Genesis Project
2024–2025Adaptive Pattern Intelligence AI System
An autonomous AI development platform with multi-tier domain architecture designed for self-improvement and specialization.
View Technical Highlights
- Built an autonomous AI development platform with multi-tier domain architecture designed for self-improvement and specialization
- Designed Neo4j graph memory system enabling semantic relationships and long-term agent reasoning across sessions
- Developed ETL pipelines feeding PostgreSQL and Neo4j for AI workflows, dependency mapping, and competency measurement
- Engineered secure Python sandbox for LLM-generated code execution and tool evolution
- Integrated Claude, DeepSeek, and OpenAI models into scalable backend systems with capability testing frameworks
Technologies
Technical Skills
Agentic AI Systems
AI/LLM Development
Python Development
Databases
Data Pipelines
DevOps & Cloud
Experience
KC Business Trust
Lead Systems, Database & AI Engineer
2008–Present
- Design and maintain MS SQL, PostgreSQL, and Neo4j databases for analytics and automation
- Develop Python applications, AI automations, and Flask-based microservices
- Implement virtualization (VMware) and cloud deployments (Google Cloud, Linode)
- Build ETL pipelines, agent tooling, and AI backend infrastructure
INLINE Technologies
Systems Engineer
2006–2008
- Windows Server administration
- Cisco networking
- SQL support
- VMware infrastructure
Meadowbrook Healthcare
SQL Database Administrator
2003–2005
- MS SQL database management
- Reporting systems
- VMware
- Terminal services
Northstar Networks
Network Engineer
2000–2002
- Cisco routing and switching
- Firewall configuration
- MS SQL
- VMware
EWTN
Novell Network Administrator
1995–2000
- Novell network administration
- Fiber optic infrastructure
- Early virtualization
- VBA automation
Education & Certifications
Google Cloud Data Engineer
In Progress
MCSE, CCNA, MS SQL DBA
Previously Maintained
CACC Coursework, JR Pittard Trade School
Electronics & Digital Circuits
Get in Touch
Have a project in mind or want to discuss opportunities? Feel free to reach out through the form below or connect with me directly.