Yuyeon Kim

Analytical and detail-oriented Quality & Regulatory Compliance Intern with hands-on experience at Samsung C&T Germany. Skilled in regulatory research, ISO-based documentation, and supplier evaluation across EV charging, Solar PV, and Battery Recycling projects. Proven ability to support compliance audits, conduct risk assessments, and translate policy analysis into actionable quality strategies. Strong cross-functional communicator, contributing to improved infrastructure reliability and regulatory alignment in global projects.

• Led a 4-member team to automate defect classification on metal surfaces using SEM/TEM image data
• Solely constructed a dataset of 1,000+ defect images, ensuring label accuracy, resolution consistency, and preprocessing readiness
• Reviewed expert-labeled defect types and validated model outputs against industry classification standards
• Developed a preprocessing pipeline in Python + OpenCV (contrast adjustment, denoising, edge filtering)
• Tuned KNN algorithm via cross-validation to enhance classification accuracy through parameter optimization
• Designed and deployed an interactive demo for simulating and classifying defects, improving stakeholder understanding of quality AI tools
• Strengthened ability to organize visual quality data, tune ML models, and communicate results across functions
• Conducted a full-cycle deep learning project to predict critical dimensions of TSV (Through-Silicon Via) structures
• Collected spectral maps using Raman spectroscopy from samples with varied via geometries
• Built a preprocessing pipeline (smoothing, normalization, wavelet-based feature extraction) to reduce signal noise
• Designed a custom CNN regression model in TensorFlow with regularization (dropout, early stopping) to avoid overfitting
• Achieved 98% correlation with CD-SEM ground truth, validating the model for quality inspection
• Created error heatmaps to analyze prediction gaps and explore dimensional variation trends
• Developed skills in sensor-based measurement interpretation, dimensional accuracy prediction, and model explainability for quality applications
• Reviewed Germany’s EfbV regulation and collaborated with GLOBAL FLOW to align documentation for regulatory compliance
• Supported creation of ISO 9001/14001-aligned documents and internal compliance reports
• Benchmarked leading recyclers (e.g., SungEel HiTech, Redwood Materials) based on technical maturity, recovery efficiency, and certification status
• Standardized performance metrics and built visual dashboards to support supplier evaluation
• Facilitated cross-functional communication between Korean engineering teams and German certification bodies, ensuring clarity in process and regulatory alignment
• Gained hands-on experience in regulatory documentation, supplier quality assessment, and multi-stakeholder communication in a global context

• ISO 9001/14001 Documentation Experience, Samsung C&T Germany – 2023
• EfbV Compliance Research & Documentation, Samsung C&T Germany – 2023
• Battery Manufacturing & ESG Training, LG Energy Solution – 2023
• Certified Semiconductor Process Trainee, HRDK Korea – 2024
• Defect Classification with SEM/TEM & OpenCV, University Project – 2024
• TSV Dimensional Analysis & ML-Based Prediction Training – 2023

Fluent in Korean, English (OPIc AL), and German (Goethe C1), with experience supporting quality-related projects in Germany. Skilled at communicating technical quality insights across teams and aligning them with regulatory and operational goals.