AI Deployment
productionI design, build, and operate production AI applications on my own infrastructure — from the agent layer down to the database, DNS, and reverse proxy. Every system below runs 24/7 in my home network, with self-healing recovery, observability, and a documented deployment playbook.
Systems & Skills
8 active modules- Linux administration (Ubuntu Server, Unraid)
- Docker container orchestration and management
- Nginx reverse proxy with SSL/TLS termination
- Let's Encrypt / Cloudflare certificate management
- Bind9 DNS with RPZ ad-blocking (6,900+ domains)
- Server monitoring and log analysis
- DNS server management and zone configuration
- RPZ-based network-wide ad and tracker blocking
- Local domain routing across multiple services
- SSH key management and secure remote access
- Firewall rules and network segmentation
- Local LLM deployment via Ollama (GPU-accelerated)
- AI agent orchestration with 15+ tool integrations
- Prompt engineering and system prompt design
- Neural text-to-speech (Piper TTS)
- Multi-model strategy (local + cloud fallback)
- n8n workflow engine (design, deploy, maintain)
- Webhook integrations across multiple platforms
- Scheduled automation and cron job management
- Data pipeline architecture (ingest, transform, store)
- Error monitoring and self-healing workflows
- PostgreSQL schema design and optimization
- Complex queries, views, and aggregations
- Data pipeline architecture and ETL processes
- Automated daily backup strategies
- Health telemetry and sensor data storage
- Home Assistant integration and device management
- Raspberry Pi sensor networks (DHT22, light meters)
- GPIO programming and hardware interfacing
- Environmental monitoring dashboards
- Automated alerts and anomaly detection
- Python scripting (automation, GPIO, data processing)
- HTML / CSS / JavaScript (web interfaces)
- REST API design and integration
- Git version control and collaboration
- WebSocket real-time communication
- Systematic root-cause analysis methodology
- Telecom: satellite, cable, phone, internet systems
- Manufacturing: electrical and mechanical diagnostics
- Software: front-end, connectivity, platform issues
- Hardware: signal, equipment, and installation
Featured Project
productionAlso Built
productionPrompt Engineering
KVAC v4.0A prompt-engineering framework designed to coordinate a dozen specialized AI agents under a single Commander persona. Each specialist holds a consistent voice and domain of expertise; the Commander selects the right consultation mode for the problem at hand — full-team synthesis, specialist deep-dive, rapid deploy, or structured task generation with file-level precision. Built and iterated while shipping the SmartHouse platform; slated for Phase 3 of Alice’s evolution roadmap.
- System architecture and design patterns
- Scalability and performance optimization
- Integration patterns and system interactions
- Migration plans with dependency chains
- Threat modeling and vulnerability assessment
- Compliance frameworks and security audits
- Penetration testing and risk mitigation
- Protection mechanisms that maintain usability
- CI/CD pipeline design and implementation
- Containerization and orchestration
- Monitoring, alerting, and observability
- Infrastructure-as-code and self-healing systems
- API specification (OpenAPI, REST, GraphQL)
- Developer experience and documentation
- API versioning and backwards compatibility
- Protocol design and communication patterns
- Master orchestrator for multi-phase projects
- Sprint planning and milestone breakdowns
- Cross-agent task coordination and assignment
- Risk management and dependency tracking
- User experience design and interface creation
- Accessibility standards and WCAG compliance
- Component design and reusable systems
- Responsive design and mobile-first approach
- Database schema design and optimization
- Query performance tuning and profiling
- Data architecture and modeling
- Migrations with rollback procedures
- Test strategy, automation, and coverage analysis
- Edge case identification and regression prevention
- Quality metrics and gate verification
- End-to-end testing scenarios
- Technical writing and knowledge management
- Onboarding guides and tutorials
- API documentation with working examples
- README updates and getting-started guides
- Performance analysis and profiling
- Monitoring and observability setup
- Bottleneck identification and optimization
- Capacity planning and scaling strategy
- Third-party API integration and middleware
- Webhook and event handler implementation
- Protocol translation and data transformation
- Error handling and retry strategies
- Cross-platform and PWA development
- Mobile UX and touch interactions
- Offline functionality and synchronization
- Performance optimization for mobile devices
“Collaborative teammate, not distant authority. Right work, right time, right resources.”
Experience Timeline
career log- Troubleshoot front-end and customer-facing technical issues across multiple product lines
- Diagnose complex software and connectivity problems through systematic root-cause analysis
- Document solutions and contribute to internal knowledge base for recurring issues
- Managed full-time caregiving responsibilities
- Self-taught Linux administration, networking, and home automation
- Built foundational skills that led to the SmartHouse platform
- Installed and troubleshot residential phone, data, and cable TV systems
- Performed on-site diagnostics for signal quality, connectivity, and equipment issues
- Managed daily route of service calls with consistent customer satisfaction
- Installed and serviced residential satellite TV and internet systems
- Diagnosed and resolved both common and complex signal/equipment failures
- Full install lifecycle: site survey, mounting, cabling, alignment, activation
- Troubleshot production line mechanical and electrical problems to minimize downtime
- Equipment diagnostics, machine repair, and tow motor operation
- Fast-paced manufacturing environment with strict quality and safety standards