Turning complex data into deployed, decision-ready systems.

AI Platform / Agentic Systems Lead — Internal AI Product

Led the design and delivery of a production-grade agentic AI system used by engineers across multiple global sites to diagnose complex operational issues.

Built an LLM-driven assistant combining retrieval, tool orchestration, and reasoning workflows to support decision-making in high-ambiguity scenarios.

Owned the system end-to-end: problem definition, architecture design, evaluation strategy, deployment, and adoption.

Resulted in ~250 engineering hours saved per week and ~50% reduction in time-to-diagnosis, with sustained usage across sites.

YMS Agent — Agentic AI Platform Leadership

Led the development of Micron's first production agentic AI system, establishing architecture patterns, use-case scoping, and best practices for enterprise-wide agentic AI adoption.

Designed and implemented an LLM-driven agent framework combining retrieval, reasoning, and tool orchestration to support complex diagnostic workflows.

Acted as technical lead and primary author, shaping standards later reused across multiple AI initiatives.

Recognised with the 2025 Micron Data Science Technical Seminar Innovation Award.

CVD Tool Qualification Reduction — Data Science with Business Impact

Led an applied ML and analytics initiative to optimise equipment qualification workflows, reducing end-to-end cycle time by ~70%.

Built data mining and modelling pipelines to identify critical qualification signals, enabling earlier decision-making and faster tool readiness.

Reduced qualification cycles from an average of 7 runs to 2, delivering ~US$400K annual savings through increased equipment availability.

Global Ad Hoc Data Mining Pipeline — Internal AI Platform Adoption

Designed and scaled a reusable data mining and modelling pipeline adopted by global data science teams for rapid issue diagnostics.

Abstracted common analysis patterns into a self-service framework, reducing time-to-insight for exploratory investigations and improving consistency across teams.

Served as technical owner and primary author, driving internal adoption and knowledge sharing across sites worldwide.

FOUP Gasket Warping Detection — Computer Vision in Production

Led the delivery of a production computer vision system to detect mechanical defects impacting downstream quality.

Designed, trained, and deployed a vision-based detection pipeline integrated into operational workflows, enabling early intervention and yield protection.

Achieved a baseline ~0.4% yield loss avoidance, with the system running in live production environments.