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, Taiwan  0958881053   [email protected] 

   Work Experience (6 years)

Algorithm Research & Design• TG3D Studio

May 2021 - Present

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 generating virtual try-on images, ensuring seamless and realistic visualization of clothing items on virtual avatars.

  • Computer Vision
  • Stable Diffusion

Body AI: Mobile Scanner

Successfully reconstructed highly accurate 3D body models by leveraging two full-body side profile photos, achieving a remarkable precision level with a size error margin of less than 3 cm.

  • Computer Vision
  • Body Reconstruction
  • Stable Diffusion

DApp: Exercise Classification

Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines.

  • Skeleton Detection
  • Motion Classification

Body AI:  3D Body Data Analysis

Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification.

  • Mesh Data Processing
  • Body Modulization: SMPL

Project Engineer • Acer Inc.

Jan 2018 - May 2021

Working in research and development (RND), I provided demand analysis, conceived system architecture, and developed core technology in AI projects

Medical AI: Cancer Cells Detection

Designed an image preprocessing algorithm and conducted training and optimization for a cancer cell detection model. Assisted in planning and implementing cancer cell detection applications, as well as developing an auto-training application for the detection model.

Computer Vision: Human Action Recognition

Conducted training for a human skeleton detection model. Developed static human action recognition model based on images and dynamic human action recognition model based on videos.

Autonomous Vehicle: Conducted Multiple AI Models in Perception System

Trained and optimized 2D and 3D object detection models, as well as traffic light recognition models. Developed inference models using CUDA library and facilitated integration into Apollo environment for perception system.

Computer Vision: Face Recognition

Developed an Image Collection System, assessed Inference Model performance, and aided in integrating systems with Inference Model APIs.

   Education

National Taiwan University 

Sep 2015 – June 2017

Master of Engineering in Department of Bio-mechatronics Engineering

Master's Thesis: An Evaluation Approach for Photovoltaic System Operation: Fault Detection and Diagnosis

National Cheng Kung University 

Sep 2010 – June 2015

Bachelor of Engineering in Department of Aeronautics and Astronautics

  Skills

Programming


  Linux OS

  Python

  Docker

  Git

  AWS Service


AI: Deep Learning


       Pytorch Framework 

       Computer Vision Model Training and Development

     Generative AI Model Development

     Hugging Face Framework

  LLM development