Expertise
From concept to production: architecture that connects business decisions to factory outcomes.
End-to-end architecture for factory integration and digital manufacturing systems. Technical decisions owned from design through production, anchored to business outcomes rather than delivery milestones. Roadmap ownership across cross-functional teams, with explicit stakeholder alignment and iterative execution cycles.
Applying AI where it changes operational outcomes: decision support in manufacturing environments, supervised agents that diagnose and resolve production issues, automated analysis across production data. The measure is not tooling adoption but operational output: coverage, reliability, and time-to-production in constrained industrial systems.
Hybrid infrastructure spanning cloud-native services and constrained edge deployments. CI/CD pipelines, observability tooling, and automated operations for distributed systems at scale. Infrastructure decisions tied to reliability targets: developer throughput and deployment confidence, not just uptime.
Digitalization strategy for semiconductor production environments across multiple sites and regions. Legacy system modernization and process automation, with organizational change management as the critical path rather than an afterthought. Measurable outcomes per phase: integration milestones, not multi-year programs that defer value to the end.
Current Initiative
Designing an operations layer for digital manufacturing systems in which operational issues are diagnosed and resolved by software agents under human supervision. The work is split across purpose-built agents, each owning a narrow slice of the diagnostic and resolution path, connected through explicit handoff contracts rather than one monolithic model.
The human role shifts from executing each step to supervising the system: setting the boundaries within which agents act, reviewing exceptions, and approving decisions that carry production risk.
The hard part is not the automation. It is the architecture around it: the guardrails, the escalation paths, and the audit trail that make supervised autonomy safe to run in production.
Experience
Lead Architect
Architecture and technical leadership for digital manufacturing systems in semiconductor production. Bridge between business stakeholders, product teams, and engineering. Ownership of system design decisions with long-term organizational impact.