Operations & AI Leadership
Operations leader who builds the cadence—real-time visibility, clear priorities, and accountable execution. I architect AI-driven production systems and deliver measurable P&L results across manufacturing environments.
What I Build
I designed and deployed JMOS—a full-stack IoT production monitoring platform that replaced manual data entry with automated intelligence across an entire plant floor.
Full-stack system integrating real-time IoT sensor feeds from 16+ machines with automated OEE computation, intelligent downtime detection, and operator-facing classification workflows.
JMOS · Node.js · PostgreSQL · MySQLIngests 2.8M+ sensor records, applies statistical cycle-time analysis to distinguish true downtime from normal process gaps, and surfaces Pareto-ranked root causes for targeted improvement.
2.8M+ Sensor RecordsAI-assisted detection of sustained operator outperformance. Auto-generates rate-change proposals with full OEE context and routes approvals to management.
Automated Proposals60-second server-side cache refresh cycles processing ~15K daily sensor readings with instant dashboard response times—no database indexing overhead.
60s Refresh CycleReal-time control charting, Pareto analysis, and trend detection enabling proactive quality interventions and focused scrap reduction.
Statistical Process ControlDaily Operations Performance Reports rendered as SVG visualizations with OEE breakdowns, downtime/defect rankings—auto-distributed to stakeholders.
Daily AutomationImpact
Projects
Dashboards, tracking systems, process improvement initiatives, and strategic analysis—built to drive operational excellence.
Interactive daily operations email with real-time KPIs, downtime analysis, quality metrics, and action tracking—sent automatically each morning to plant leadership. Features in-email navigation buttons for mobile-first consumption.
Real-time sensor-driven production tracking with automated cycle-time capture every 30–45 seconds. Statistical process control with UCL/LCL boundaries and target rate overlays for immediate deviation detection.
Data-driven forecasting tool using 3-month rolling averages to generate daily financial projections, strengthening performance and improving oversight efficiency.
Asset-level analytics tracking work order volume and labor hours by maintenance type. Identifies equipment and maintenance trends to improve asset availability and reduce non-value-added effort.
Applied DMAIC methodology to drive measurable process improvements in manufacturing operations, with documented results from Define through Control phases.
Led a structured RCA workshop using fishbone methodology to investigate temperature instability in a Kr/Xe distillation tower, producing prioritized corrective actions.
Operating Philosophy
Systems don't just improve results—they make performance repeatable.
Career
I lead end-to-end operations for a high-volume manufacturing site, building disciplined data systems and operational cadence that drive predictable, scalable performance.
I transformed fragmented operations into data-driven, flow-oriented manufacturing systems, aligning teams and technology to scale output and reduce losses.
I engineered the quality backbone that enabled next-generation products, reduced cycle times, and anchored ISO compliance.
I drove operational excellence across multiple facilities by scaling visibility, reliability, and process discipline.
I drove shift-level performance and safety excellence by empowering teams with lean discipline and data clarity.
I built foundational technical and analytical leadership by optimizing automated processes and reducing losses.
Credentials
B.S. Chemical Engineering · West Virginia University, 2020
Connect
Open to discussing operations leadership, AI-powered manufacturing, or how data-driven systems can transform your organization.