林依巧 Email & Phone Number

Taiwan

台灣 臺北市

Taipei City, Taiwan

Machine Learning • Pixsee Baby camera a. Face detection and attributes(age, gender, etc.) model training for the "Baby Bubble Tree" service. b. Object detection model training and image-based product recommendations. c. People search with unsupervised clustering. d. Model Interpretability and embedding visualization(t-SNE). e. Design and implement the process of model benchmarking, data statistics, and error analysis.

Taipei City, Taiwan

Machine Learning • Lollipop Baby camera a. Baby detection model training. b. Use GAN, OpenCV, and crawler to generate and collect data. c. Use the Guided Grad-CAM to show models looking for CNN visualization. d. Model benchmark, data statistics, and analysis. • Face Attribute a. Face detection and face attributes multi-task model training. • Mobile Library a. Build the Android MACE library for SSD, MTCNN, segmentation, and classification. b. Build the iOS Core ML library for SSD, vision face, and classification.

Taipei City, Taiwan

Machine Learning • Pose Estimation a. Customed training OpenPose to perform multiple people keypoint detection. b. Build real-time and offline Android tflite demo application.Back-End • Use the Azure service to build the Android Launcher application back-end. a. Request news regularly and insert parsed data to SQL dataset via Mobile Apps Jobs. b. Created thumbnail via VM and upload images regularly to blob storage. c. Enable “CDN” service to reduce load times and speed responsiveness.Web • Build age and gender web via the Bootstrap framework.Android Application • “Calendar” widget and year view features. • Support cross-platform (iOS, Android) application via React Native.