PCBA BOM Analyzer
Developed a PCBA BOM Analyzer that prepared more than 50 BOMs for risk analysis in seconds, saving hours of manual preparation and automating portions of the analysis.
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Experience | Global operations + supplier engineering
Global operations and supplier engineering leadership, supported by analytics products people can use.
I bring 18+ years across global operations, manufacturing, supplier management, and supply chain. When better tools can improve the work, I identify the decision, shape the workflow and data, use AI to accelerate implementation, validate fragile states, and steward what ships.
- Experience
- 18+ years across global operations, manufacturing, supplier management, and supply chain.
- Operating scope
- Supported approximately $40M in supplier spend.
- Cross-functional partners
- Worked daily with demand planning, inventory, sourcing, quality, manufacturing, and suppliers.
- Working mode
- Problem, workflow, data, implementation, validation, deployment, and stewardship.
Working approach
I am most useful when a consequential decision is still becoming legible.
The work starts with the user or business problem, not a favored tool. I move between operating context and implementation: making the decision and constraints explicit, translating requirements into workflows and data, building a useful version, validating outputs and failure states, and explaining the result clearly enough for nontechnical users to act on it. That context includes supplier risk, cross-functional improvement, and PCBA analysis in reliability-conscious environments.
Operations + digital products
Concrete tools built around real operating decisions.
Supplier change + material qualification
Built an AI-assisted Supplier Change Impact Assessment guidance tool grounded in 20 controlled SOPs, plus a separate material-qualification guidance tool.
Power BI prioritization
Built a Power BI tool that analyzed PCBA category spend history to support resource and project prioritization.
Cross-functional continuous improvement
Served as a Boston Scientific AI Champion and applied Agile/Scrum practices during a six-month FARAPULSE material-flow Kaizen.
Public proof
The examples are meant to be inspected, not just skimmed.
TrailScope
Android and Wear OS proof connecting bounded GPX import, watch sync, an implemented checkpoint path, local GPX/FIT output, and explicit release boundaries.
Poolhouse
Expo and React Native proof connecting a Supabase/PostgreSQL backend with validation, private-group authorization, automated score synchronization, and recoverable standings across web and mobile.
Writing
Notes that expose the reasoning behind interrupted state, recovery, trusted workflows, product boundaries, and release evidence.
Product Systems Lab
Deterministic decision-support simulations make TrailScope and Poolhouse state transitions, blocked actions, recovery paths, and event histories inspectable.
How I build
Product ownership from problem definition through stewardship.
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01
Identify
Make the user or business problem and the decision it supports explicit.
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02
Translate
Turn requirements into workflows, product behavior, and acceptance boundaries.
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03
Structure
Organize data, rules, and validation around the decision being made.
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04
Accelerate
Use AI and Codex to implement faster while retaining judgment and review.
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05
Validate
Test outputs, edge cases, failure states, and recovery before relying on the result.
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06
Steward
Deploy, explain, learn from feedback, and maintain the product after launch.
Best fit
Principal level work where global operations, supplier engineering, and digital product ownership meet.
I am at my best in global, cross-functional environments where supplier risk, material flow, and operations decisions depend on trustworthy analytics, usable workflows, and clear movement from information to action. The strongest products are technically sound, understandable to the people using them, and stewarded after deployment.