Reliability Engineering

Anchor Rel

Reliability engineering has been a core thread throughout my work across consumer electronics, aerospace, and defense systems. I specialize in translating risk into quantifiable test strategies, combining statistical modeling, hands-on validation, and manufacturing collaboration to ensure products perform reliably in real-world conditions.

My approach goes beyond checklist-based testing—focusing instead on value-driven validation, early risk discovery, and test methodologies that directly inform design decisions and production readiness.

Reliability Strategy & Statistical Modeling

I build data-driven reliability plans that balance test coverage, cost, and development timelines. This includes:

Developing statistical test plans (sample size, confidence levels, failure criteria) aligned with program risk
Applying Weibull analysis, life-stress modeling, and accelerated testing methods
Prioritizing tests based on failure mode criticality and field-use profiles
Using test data to drive design trade-offs, not just pass/fail outcomes

This ensures testing effort is focused where it delivers the highest reliability return, rather than over-testing low-risk components.