Professional Summary

I am a technology leader with 25+ years of experience driving enterprise-wide transformation in mission-critical, highly regulated environments. My work spans critical infrastructure, healthcare operations, financial controls environments, and government-adjacent organizations — anywhere data, uptime, and audit posture are non-negotiable.

I excel at building worlds: robust, reliable, scalable computing environments where operations teams can thrive, unobstructed by technology barriers. I am recognized for synthesizing complex information quickly, spotting patterns others miss, and translating between technical and business priorities. My approach is collaborative, vendor-neutral, and grounded in operational reality.

Technology leaders in regulated industries face a relentless squeeze: maintain 24/7 uptime, pass intensifying audits, modernize aging infrastructure, adopt AI capability, and do all of it with limited resources and legacy constraints. I provide the strategic technology leadership to solve these challenges without the overhead of a full-time executive hire.

Key Achievements

• 25+ years driving enterprise-wide transformation in mission-critical, highly regulated environments
• 99.99%+ system uptime through platform revitalization — while maintaining service availability
• 95% downtime reduction in mission-critical, real-time systems
• 100% audit pass rate (NERC CIP, TSA, HIPAA) with zero findings
• Seamless support for $2.5B+ in annual transactional value
• Led cloud operations and migration initiatives with near-zero operational disruption
• Cross-functional leadership across IT, security, legal, compliance, finance, and operations

Sovereign AI for Regulated Industries

I help regulated organizations adopt AI on terms that align with their compliance posture, not the AI vendor's. The pattern is consistent across industries: leadership wants AI capabilities, compliance teams need data control, and the gap between those two is where most AI projects fail. Bridging that gap is core to my work.

Sovereign AI is the discipline of deploying AI where institutional control over data, models, and accountability is non-negotiable — exactly the environments where regulators are most attentive and where vendor lock-in carries the highest cost.

Capabilities

• Predictive maintenance & operations modeling — sensor and operational data stays inside your perimeter; models trained on-premises or in sovereign cloud.
• Automated compliance and audit reporting — AI-assisted evidence gathering and exception detection without exposing audit data externally.
• Risk assessment & anomaly detection — financial, operational, and security risk models running on sovereign infrastructure.
• Document intelligence for regulated content — contracts, policies, regulatory filings, and audit packages processed without leaving the institution.
• Federated learning for multi-org collaboration — share model improvements across sites or partner organizations without sharing data.
• AI governance frameworks — model registry, versioning, bias and drift monitoring, audit trails — integrated into your existing compliance program.

Sovereign AI is not anti-AI. It is the discipline of deploying AI where institutional control over data, models, and accountability are non-negotiable — exactly the environments where regulators are most attentive and where vendor lock-in carries the highest cost.

Read the Sovereign AI deep-dive →

Technical Expertise

Hands-on experience across every major IT discipline. Credibility comes from depth, not just titles.

• Sovereign AI Architecture: Open-weight model deployment, fine-tuning infrastructure, AI governance, federated learning, hybrid sovereign-cloud patterns
• Compliance Frameworks: NERC CIP, TSA, HIPAA, SOX, PCI-DSS, GLBA, NIST 800-53, NIST AI RMF, ISO 42001, EU AI Act
• Operational Technology: SCADA, ICS, control systems, OT/IT convergence, OT cybersecurity
• Cloud & Infrastructure: AWS, Azure, GCP (public, government, sovereign regions), on-premises datacenter operations, hybrid architectures, disaster recovery
• Security & Identity: Zero-trust architecture, IAM, SSO, RBAC, encryption, audit trail design, SIEM/SOC strategy
• Data Platform: SQL administration, data integration, automation, real-time and mission-critical systems
• Networking: Network engineering, segmentation, secure remote access
• Engineering Disciplines: SQL, Linux, Windows, automation engineering, enterprise architecture, SAN, cloud engineering

Core Competencies

Why Trust Me

25+ years of hands-on experience across every major IT discipline, including sovereign AI architecture and the full spectrum of regulated-industry compliance frameworks. I have led cross-functional teams through complex transformations and worked every major IT role — so I understand your team's challenges firsthand. Endorsed by peers and executives for delivering results under pressure, in environments where the cost of failure is measured in audit findings, downtime, public safety, or trust.

Background

Large-scale infrastructure and automation initiatives. Mission-critical platform revitalization. Sovereign AI strategy and implementation. Multi-framework compliance programs. Cross-functional team leadership in environments where IT, security, legal, compliance, and operations all share veto power. The pattern across industries is consistent: technology leaders need someone who can translate between technical depth and business strategy, who understands compliance as architecture rather than friction, and who can deliver measurable results in environments that punish unforced errors.