Semiconductor Yield Fault Detection
End-to-end fault detection pipeline on SECOM semiconductor manufacturing data.
PyTorch scikit-learn MLflow FastAPI SHAP
Joshua Lee
Machine Learning Engineer & Racket Sports Enthusiast
Machine Learning Engineer & Racket Sports Enthusiast
Recent grad from University of California, San Diego with a Bachelor of Science in Data Science. I like building things that make sense of messy data — whether that's detecting faults on a production line or making medical imaging more interpretable. Outside of work I'm usually on a pickleball court or checking out new food places with my friends.
End-to-end fault detection pipeline on SECOM semiconductor manufacturing data.
Built an explainable deep learning system using CNNs and a medical LLM to analyze chest X-rays and radiology reports for pulmonary edema detection.
Scenario-based operations analysis of ISR drone fleet deployment under cost, coverage, and persistence constraints.
Digital Analytics & Content Operations Co-op
Built a privacy-first analytics pipeline that generates 0-100 Content Performance Score (CPS) for Skyworks web pages using cookie-lite engagement metrics (scroll depth, dwell time, bounce, exit rate).
Data Analyst Intern
Designed an NLP pipeline for large-scale text data, including data cleaning, feature extraction, and structured signal generation.
Data Science Intern
Assisted in building iOS-based social matchmaking app for Gen Z users.
Data Engineering Intern
Automated reports and supported data operations across departments.
Coding Instructor
Taught coding fundamentals and led a stop-motion animation workshop for students.
Master of Science, Applied Data Science
Bachelor of Science, Data Science