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Avatar of Alex Yu.
Avatar of Alex Yu.
Product Manager @Linker Vision
2023 ~ Presente
PM/產品經理/專案管理
En un mes
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, Segmentation[email protected]
Business Development
Deep Learning
PYTHON
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
Avatar of the user.
Avatar of the user.
Data engineer @H2 Inc.
2021 ~ Presente
AI engineer, ML engineer, data scientist
En un plazo de tres meses
Airflow
Docker
AWS
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
清華大學
動力機械工程學系
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data science lecturer @Ittraining
2020 ~ Presente
Data Scientist 資料科學家_數據分析師
En un mes
Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣道擴散偵測競賽 I:運用物體偵測作法於找尋STAS, 2022/06/02
nlp-rasa
recommender system
pytorch tensorflow
Empleado
Abierto a oportunidades
A tiempo parcial / Interesado en trabajar a distancia
Más de 15 años
Purdue University
School of civil engineering (Stochastic & statistical hydrology)

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AI Engineer
Logo of Compal Electronics, Inc., Taipei City, Taiwan.
Compal Electronics, Inc., Taipei City, Taiwan
2020 ~ 2021
Taipei City, Taiwan
Professional Background
Situación actual
Progreso en la búsqueda de empleo
Professions
Research / R&D
Fields of Employment
Software
Experiencia laboral
6-10 años
Management
Habilidades
Machine Learning
Deep Learning
Linux
Tensorflow/Keras
Python
Java
Idiomas
Chinese
Nativo o bilingüe
English
Intermedio
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deep learning/machine learning/computer vision/software engineer
Tipo de trabajo
A tiempo completo
Ubicación
Taipei, Taiwan
A distancia
Interesado en trabajar a distancia
Freelance
No.
Educación
Escuela
National Cheng Kung University
Mayor
Department of Industrial Information Management Institute of Information Management
Imprimir

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   

Certification

   Coursera - Deep Learning      DeepLearning.AI TensorFlow Developer

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


Resume
Perfil

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   

Certification

   Coursera - Deep Learning      DeepLearning.AI TensorFlow Developer

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