• Translating design intent into manufacturable, testable, and measurable requirements

• Analyzing production line yield, reliability testing, and field-relevant data to identify trends and failure modes

• Supporting manufacturing readiness and ramp activities, where timelines compressed and data quality evolved rapidly

• Collaborating across design engineering, operations, and suppliers to converge on production-viable solutions

These problems required balancing engineering rigor with real-world manufacturing constraints, often with incomplete or noisy data.

My Approach

I focused on building repeatable, decision-oriented workflows that could scale with production volume and uncertainty.

Typical workflow:

1. Frame ambiguous manufacturing issues into a clear technical problem statement

2. Identify leading indicators and key quality metrics

3. Perform targeted data analysis to isolate root causes or risk drivers

4. Propose corrective actions or trade-offs grounded in manufacturability and reliability

5. Communicate findings through concise technical reviews to cross-functional stakeholders

This approach emphasized clarity, speed, and traceability, especially during later builds when rapid iteration was critical.

Skills and Tools Applied