Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
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2021 ~ 現在
Software Engineer
1ヶ月以内
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Business Development / Product Manager / Product Marketing/ Strategy Manager
1ヶ月以内
Jimmy Lu (呂正彥) Senior Product Manager [Consumer Electronics Expatriate PM/Sales/BD] Entrepreneurship business development & management Leadership flexible & efficient international/cross-functional organizing Target-oriented project lead & SOP consolidation, product lifecycle management Begin with the end in mind Go-to-market execution Taipei, Taiwan < > London, UK https://www.linkedin.com/in/itsjimmy/ [email protected] Work experience Senior Product Manager [Consumer NB & Gaming ] • ASUSTeK Computer Indonesia JulDec 2023 | Jakarta, Indonesia Key responsibilities & Achievements - #business management #business development #team leading #cross-functional organizing
Business Development Project Management
Cross-Functional Project Management
Product Life Cycle Management
無職
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面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立陽明交通大學(National Yang Ming Chiao Tung University)
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Bachelor of management , Management of Transportation and Logistics
Relevant Courses: Object-Oriented Design, Data Structures, Probability & Statistics, Algorithms, Database Systems, Computer Networking I, Computer Vision, Natural Language Processing, Machine Learning
EXPERIENCE
Medical Informatic Research and Genetic Elucidation Lab, National Taiwan University | Taiwan
Summer InternMay 2019 – August 2019
Built a facial recognition program using OpenCV and convolutional neural networks (CNNs).
Designed a machine learning classification model for 5 common lung tumor types using ensemble one-vs-one support vector machine (SVM) classifier.
Applied 3D residual convolutional neural networks, using Keras and scikit-learn, on augmented Lung Image Database Consortium image collection (LIDC-IDRI) to classify benign and malignant lung tumors and achieved an accuracy, sensitivity, and specificity of 97.23%, 95.54%, and 98.12%, respectively.
PROJECTS
Taiwanese Traffic Object Detection | TaiwanDecember 2020 – January 2021
Trained and fine-tuned Darknet YOLOv4 Tiny model on a custom object detection dataset for Taiwanese traffic.
Explored the capability of Darknet YOLOv4 Tiny by training and fine-tuning the model at different resolutions, learning rates, and momentum to build an object detection system specifically for Taiwanese traffic.
Achieved an 87.5% [email protected] at about 18 to 23 average FPS with Nvidia Tesla P100 GPU.
Proper Mask Wearing Detection and Alarm System | TaiwanDecember 2020 – January 2021
A face mask detector that can detect whether an individual wears a mask and if the mask is worn properly.
Performed transfer learning on MobileNet V2 using Tensorflow/Keras, OpenCV, and Google Cloud Compute Engine.
Designed and deployed a real-time detection app for the mask detection model using Dash framework.
Continuation of the ITS-Chatbot project using a transformer-based model.
Implemented a test script that evaluates the model on Piazza questions using Exact Match and F1 scores as metrics.
Improved generated-answer selection with softmax confidence score calculation and thresholding.
Incorporated and tested a BERT QA model on existing chatbot architecture using the ktrain Python library.
Overhauled the model in a more object-oriented fashion that eased the subsequent implementation of the transformer-based document retriever.
ITS-Chatbot | Atlanta, GAJanuary 2020 – May 2020
A chatbot add-on that aims to support digital dialogs between students and all resources available for a course.
Built a data preprocessing pipeline for Piazza posts and comments using Spacy, NLTK and other Python libraries.
Integrated the data preprocessing pipeline with the document embedding script and chatbot interface.
LEADERSHIP
Data Science at Georgia Tech (DSGT, or Data Science at GT) | Atlanta, GAOctober 2018 – April 2020
Content Creator (January 2019 – April 2020)
Incorporated Jupyter Notebook with presentations to build interactive data science workshops for more than 80 DSGT members on topics such as Support Vector Machine, Ensemble Methods, and Intro to Deep Learning.
Planned, with other organizing members, Hacklytics 2020 datathon and presented a workshop to over 50 students.
Relevant Courses: Object-Oriented Design, Data Structures, Probability & Statistics, Algorithms, Database Systems, Computer Networking I, Computer Vision, Natural Language Processing, Machine Learning
EXPERIENCE
Medical Informatic Research and Genetic Elucidation Lab, National Taiwan University | Taiwan
Summer InternMay 2019 – August 2019
Built a facial recognition program using OpenCV and convolutional neural networks (CNNs).
Designed a machine learning classification model for 5 common lung tumor types using ensemble one-vs-one support vector machine (SVM) classifier.
Applied 3D residual convolutional neural networks, using Keras and scikit-learn, on augmented Lung Image Database Consortium image collection (LIDC-IDRI) to classify benign and malignant lung tumors and achieved an accuracy, sensitivity, and specificity of 97.23%, 95.54%, and 98.12%, respectively.
PROJECTS
Taiwanese Traffic Object Detection | TaiwanDecember 2020 – January 2021
Trained and fine-tuned Darknet YOLOv4 Tiny model on a custom object detection dataset for Taiwanese traffic.
Explored the capability of Darknet YOLOv4 Tiny by training and fine-tuning the model at different resolutions, learning rates, and momentum to build an object detection system specifically for Taiwanese traffic.
Achieved an 87.5% [email protected] at about 18 to 23 average FPS with Nvidia Tesla P100 GPU.
Proper Mask Wearing Detection and Alarm System | TaiwanDecember 2020 – January 2021
A face mask detector that can detect whether an individual wears a mask and if the mask is worn properly.
Performed transfer learning on MobileNet V2 using Tensorflow/Keras, OpenCV, and Google Cloud Compute Engine.
Designed and deployed a real-time detection app for the mask detection model using Dash framework.
Continuation of the ITS-Chatbot project using a transformer-based model.
Implemented a test script that evaluates the model on Piazza questions using Exact Match and F1 scores as metrics.
Improved generated-answer selection with softmax confidence score calculation and thresholding.
Incorporated and tested a BERT QA model on existing chatbot architecture using the ktrain Python library.
Overhauled the model in a more object-oriented fashion that eased the subsequent implementation of the transformer-based document retriever.
ITS-Chatbot | Atlanta, GAJanuary 2020 – May 2020
A chatbot add-on that aims to support digital dialogs between students and all resources available for a course.
Built a data preprocessing pipeline for Piazza posts and comments using Spacy, NLTK and other Python libraries.
Integrated the data preprocessing pipeline with the document embedding script and chatbot interface.
LEADERSHIP
Data Science at Georgia Tech (DSGT, or Data Science at GT) | Atlanta, GAOctober 2018 – April 2020
Content Creator (January 2019 – April 2020)
Incorporated Jupyter Notebook with presentations to build interactive data science workshops for more than 80 DSGT members on topics such as Support Vector Machine, Ensemble Methods, and Intro to Deep Learning.
Planned, with other organizing members, Hacklytics 2020 datathon and presented a workshop to over 50 students.