Minneapolis, Minnesota, United States
I am a quality and manufacturing systems leader with over a decade of experience driving quality, product readiness, and operational excellence across electronics manufacturing and the global semiconductor ecosystem. My work has supported high-reliability hardware and metrology solutions deployed in both front-end and back-end manufacturing environments, with direct exposure to tier-one customers including Micron, Applied Materials, Lam Research, ASML and TSMC. At a practical level, many of the devices people rely on every day depend on the consistency and performance of the manufacturing processes behind them. If you are reading this on a phone, laptop, or tablet, the chips inside likely passed through systems shaped by the programs and quality frameworks I help lead. Academic foundation includes a Master's in Engineering/Industrial Management from St. Cloud State University. My leadership approach focuses on execution and accountability: aligning product requirements with manufacturing reality, guiding cross-functional teams through structured problem solving and risk management, and improving performance while reducing cost of poor quality. I have led teams through acquisitions, ERP implementations, and operational expansion while maintaining delivery discipline, stakeholder alignment, and ISO 9001–compliant quality systems in complex, high-expectation manufacturing environments. Certifications: Lean Six Sigma Black Belt Lean Six Sigma Green Belt Certified Professional in Engineering Management (CPEM®), ASEM QMS Auditor / Lead Auditor (ISO 9001) Data Analytics in Lean Six Sigma Project Management Professional Certificate: Google
• Drive ISO audits (ISO 9001:2015) for recertification (Internal and External) by production walkthrough and leading closing meetings. • Track, monitor, and maintain integrity of quality cost data for top products maintaining a good traceability via COPQ analysis (Warranty, rework, and scrap costs) • Monitor and analyze customer quality data through metrics such as quality incidents, pareto chart, failure rate trend, etc. • Perform FMEA (Failure Analysis) timely and troubleshooting issues for identifying root causes of nonconformities and driving corrective/preventive actions. • Initiate “Quality Alert” meetings and conduct root cause analysis using statistical tools (e.g., SPC, FMEA, 8D) to identify issues and implement process improvements. • Engage in continuous improvement initiatives aimed at enhancing product quality, optimizing inspection methods utilizing lean and six sigma principles • Release ECOs and assist in ECO driven product updates for semiconductor manufacturing process. • Lead weekly Tier, SQDIP meetings to communicate changes, improvements, and or initiatives. • Reviewing work instructions and procedures for final assembly, and Kanban for SMT and WaferSense production. • Lead internal bi-weekly quality meetings among cross-functional teams to review latest reported issues. • Actively support the Material Review Board (MRB) to disposition non-conforming materials and drive root cause investigations.
• Improved Quality Engineering research, offering field and lab assistance to faculty and doctoral students. • Delivered presentations on Quality Control and guided fellow students academically. • Reviewed reports from top universities to support academic evaluations for engineering management programs.
• Lead supplier quality initiatives, including routine Supplier Quality meetings, issue resolution, and continuous improvement efforts. • Implemented 5 why Analysis, DMAIC methodology and conducted brainstorming sessions to identify the Root Cause Analysis for incoming RMAs • Maintain supplier performance scorecards by monitoring KPIs and ensured products met specifications and validate customer requirements. • Create and update RMA log to track in process RMAs, Failure Analysis reports. • Utilize structured problem-solving tools (8D, CAPA, SCAR) and statistical techniques (MSA, FMEA, Control Plan, Process Capability Analysis) to reduce the Cost of Poor Quality (COPQ) and enhance process reliability.