Consulting
Enterprise-grade architecture, delivered independently.
30 years of systems engineering depth, available outside a corporate org chart.
Services
AI Systems Architecture
Multi-model orchestration, provider abstraction, agent pipelines, and capability-based dispatch. Architecture for systems where AI is a distributed workforce — not just an API call.
- Multi-model routing and fallback design
- Quorum consensus for high-stakes AI validation
- Agent lifecycle management and task graphs
- Provider abstraction across Anthropic, OpenAI, Google, xAI, Ollama
Infrastructure Design
KVM and Hyper-V virtualization, Kubernetes cluster design, CI/CD pipeline architecture, monitoring stack integration, and self-hosted platform engineering.
- Hypervisor fleet design (KVM / Hyper-V)
- Kubernetes and container orchestration
- Jenkins CI/CD pipeline architecture
- Prometheus / Grafana / Loki observability
Performance Engineering
Diagnosis of complex production performance problems. Root-cause analysis across the full stack — network, application, database, OS, and infrastructure layers.
- Production incident root-cause analysis
- Cross-layer performance diagnosis
- Long-standing problem triage (days, not quarters)
- Capacity planning and bottleneck identification
Security Architecture
TLS PKI design, authentication system architecture, OWASP compliance review, and challenge-response security frameworks for distributed systems.
- TLS PKI and certificate lifecycle
- Auth system design (OAuth, OIDC, Identity)
- OWASP Top 10 review and remediation
- Security architecture for distributed AI systems
Proof of Work
Output metrics from the xsubi ecosystem demonstrate what this kind of systems architecture produces in practice — 328+ commits, 116K+ lines, 1,025 tests, 11 active repositories across distributed systems, AI orchestration, web platform, and infrastructure tooling. Built by one engineer in under 30 days using AI-augmented workflows.
The engineering page shows real git history metrics, velocity data, project breakdown, and the AI orchestration model behind the output. No estimates — sourced directly from the commit log.
Engagement
Consulting engagements are managed through Upwork for mutual protection — milestone tracking, escrow, and dispute resolution are handled by the platform.
All deliverables are gated behind payment confirmation. Scope, timeline, and acceptance criteria are defined in writing before work begins. No surprises in either direction.
Availability is limited. Complex architecture engagements are taken selectively. If your problem is genuinely hard, that's a qualifier, not a disqualifier.