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Definition of Reputation Credits
林依巧 (I-Chiao Lin) AI Engineer
9+ years of experience in Machine Learning(ML) and software development.
Hands-on experience in AI, algorithms, and software solutions to realize consumer products target. Also, have experience using data visualization and model interpretability techniques for effective analysis and to apply better solutions.
Taipei City, Taiwan [email protected] Portfolio
Skills
Tech Stack
Tensor Flow Android Linux Python Java
Work Experience
AI Engineer (Deputy Section Manager)
Compal Electronics, Inc., Taipei City, Taiwan • Apr 2020 — May 2021
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.
Algorithm R&D Engineer
Masterwork Aoitek Tech Corp Ltd., Taipei City, Taiwan • Apr 2019 – Feb 2020
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.
• Face Attribute
a. Face detection and face attributes multi-task model training.
• Mobile Library
a. Build Android MACE library for SSD, MTCNN, segmentation, and classification.
b. Build iOS Core ML library for SSD, vision face, and classification.
Software R&D Engineer (Specialist)
ASUSTeK Computer Inc., Taipei City, Taiwan • May 2011 – Feb 2019
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 into the SQL dataset via Mobile Apps Jobs.
b. Created thumbnail via VM and uploaded images regularly to blob storage.
Web
• Build age and gender web via the Bootstrap framework.
Android Application
• “Calendar” widget and year view features.
Education
Master's Degree
National Cheng Kung University, Tainan City, Taiwan • 2008 - 2010 
Department of Industrial Information Management Institute of Information Management
林依巧 (I-Chiao Lin) AI Engineer
9+ years of experience in Machine Learning(ML) and software development.
Hands-on experience in AI, algorithms, and software solutions to realize consumer products target. Also, have experience using data visualization and model interpretability techniques for effective analysis and to apply better solutions.
Taipei City, Taiwan [email protected] Portfolio
Skills
Tech Stack
Tensor Flow Android Linux Python Java
Work Experience
AI Engineer (Deputy Section Manager)
Compal Electronics, Inc., Taipei City, Taiwan • Apr 2020 — May 2021
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.
Algorithm R&D Engineer
Masterwork Aoitek Tech Corp Ltd., Taipei City, Taiwan • Apr 2019 – Feb 2020
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.
• Face Attribute
a. Face detection and face attributes multi-task model training.
• Mobile Library
a. Build Android MACE library for SSD, MTCNN, segmentation, and classification.
b. Build iOS Core ML library for SSD, vision face, and classification.
Software R&D Engineer (Specialist)
ASUSTeK Computer Inc., Taipei City, Taiwan • May 2011 – Feb 2019
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 into the SQL dataset via Mobile Apps Jobs.
b. Created thumbnail via VM and uploaded images regularly to blob storage.
Web
• Build age and gender web via the Bootstrap framework.
Android Application
• “Calendar” widget and year view features.
Education
Master's Degree
National Cheng Kung University, Tainan City, Taiwan • 2008 - 2010
Department of Industrial Information Management Institute of Information Management