Introduction to Electronics Design Lab

Responsible for Lab Management in Module 3: Embedded AI. (Instructor: Ian Oakley)

Week 1 — Wave Function Classifier & Quantization

Assisted students in training and quantizing neural network models (float32/int8) and deploying them on Raspberry Pi, while troubleshooting model convergence and inference issues.

Week 2 — Wake Word Detection (Data → Model → Deployment)

Supported audio dataset collection, MFCC-based feature extraction, model training with augmentation, and on-device evaluation, guiding students through accuracy/FPR/FNR analysis.

Week 3 — Streaming Wake-Word Deployment & Parameter Tuning

Helped students extend the streaming detector with logging, evaluate false positives/negatives, and tune threshold/state-machine parameters for real-time wake-word performance.