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Quality Engineering Intern

PCB Manufacturing Quality Engineering SMT Production Root Cause Analysis DFM Python
@ PPSI — PCB/PCBA Electronic Manufacturing Services
Period
May 2025 — December 2025
Type
Internship
Focus
DFM & Quality
Status
Completed

Embedded with an engineering team at a PCB manufacturer supporting aerospace and high-reliability products, gaining hands-on experience across SMT production, AOI/flying probe testing, quality control, and process improvement. Worked directly alongside engineers on the production floor applying IPC/ISO standards and running root cause analysis on real failures.



15%
RMA Processing Time Reduced
30%
Board Failure Rate Reduced
$40
Saved Per 1,000 Boards
6
Projects Completed

01
Conformal Coating Protection System
DFM · SolidWorks · 3D Printing
Defects eliminated
+

Designed a custom ESD-safe protective cover to prevent conformal coating contamination on LCD components. Modeled the enclosure in SolidWorks using component dimensions sourced from DigiKey, applied GD&T tolerancing to ensure proper fit across multiple product families, then prototyped using Cura and an Ultimaker S5. Solution was scaled across the D800s, ES3, and MC2 product lines.

Eliminated coating defects on sensitive components and improved manufacturing consistency across multiple product lines.
SolidWorksGD&T3D PrintingESD SafetyDFM
02
RMA Data System Optimization
Excel · Root Cause Analysis · Process Improvement
15% faster
+

Built a structured Excel-based tracking system to standardize RMA failure data collection during investigations. The system improved visibility into failure trends and root causes, replacing an ad-hoc process that was slow and inconsistent.

Reduced RMA processing and conversion time by 15%.
Excel8D5 WhyRoot Cause Analysis
03
Flying Probe Test Automation
Python · Test Engineering · Automation
Operator-run testing
+

Developed Python scripts to automate flying probe validation workflows that previously required constant engineering oversight. The automation enabled operators to run tests independently, freeing up engineering time for higher-priority work.

Shifted test execution from engineers to operators, saving critical engineering bandwidth.
PythonFlying ProbeTest Automation
04
Test Coverage Expansion
Flying Probe · Electrical Testing · Multi-Product
30% fewer failures
+

Expanded flying probe test coverage across the D800s, ES3, and MC2 product lines by implementing new testing procedures. Improved detection of electrical faults during production before boards reached downstream operations.

Reduced board failure rates by 30% across covered product lines.
Flying ProbeElectrical TestingIPC Standards
05
BOM Cross-Verification Automation
Python · MRP · Error Prevention
Concept / Design
+

Designed a Python-based system to validate BOM consistency by comparing MRP BOMs against SMT machine pick-and-place data, flagging mismatches before production began. Reached concept and design stage during the internship.

System designed to catch BOM-to-machine mismatches that could cause production errors, did not deployed.
PythonMRPSMTBOM Validation
06
Packaging Cost Optimization Study
Cost Analysis · Process Improvement · Operations
$40 / 1,000 boards
+

Conducted a cost analysis across multiple packaging methods, evaluating material and labor costs for each approach. Identified process inefficiencies and documented optimization opportunities with supporting data.

Reduced packaging costs by $40 per 1,000 boards and improved overall packaging workflow efficiency.
Cost AnalysisProcess ImprovementOperations

Engineering & Quality
IPC Standards ISO Processes Root Cause Analysis 8D / 5 Why DFM / DFA SMT Manufacturing PCB Testing FAI Lean Six Sigma Methodologies
Tools & Software
Python Excel / MRP AOI Systems Flying Probe Altium / KiCad GerbView SolidWorks GD&T

Developed a deep understanding of the full PCB manufacturing lifecycle. From BOM validation through final testing and failure analysis. Saw firsthand how design decisions made early directly impact manufacturability, cost, and defect rates downstream. The gap between an ideal FMEA and how quality teams actually run root cause investigations on a production floor is significant, and I came away with a much clearer picture of how to bridge design and manufacturing.

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