Leo Lin


1. More than 10 years of computer vision and deep learning experience/client/server/android development experience.
2. Programming experience using python.
3. Good paper reading ability and practical ability
4. Familiar with computer vision, deep learning (CNN, Resnet, densnet), object detection (Yolo series, RCNN series), segmentation models (UNet, DensUNet).
5. Experience in semi-supervised or unsupervised learning (pseudo labeling, Voxmorph model).
6. Experience with Docker, Git, Jenkins DevOps.

Education:
National Taiwan University of Science and Technology - Master of Information Engineering

Experience:
2010 Wistron - Software Engineer
2015 Wistron - ML/DL Image Processing Engineer
2019 Wistron - Technical Manager
2020 MIT - Computer Science and Artificial Intelligence Laboratory (CSAIL) Visiting Engineer

Competition:
2016 Ministry of Economic Affairs Bureau of Industry – Mastering the Data Context Hackathon Competition, Data Marketing Award
2017 Kaggle: The Nature Conservancy Fisheries Monitoring – bronze medal <6%
2018 Wistron Capital Entrepreneurship Competition 3rd place - Baby Guardian

In 2020, I was fortunate to be a Visiting Engineer at Massachusetts Institute of Technology-Computer Science & Artificial Intelligence Laboratory for six months, to research new technologies.

I am a person who is eager to challenge and learn new technologies. In my spare time, I often follow the latest papers, technical documents, and even online competitions. I look forward to applying AI in more places in the future.

  Taipei, Taiwan


Experience

九月 2020 - Present

Technical Manager  Wistron


I'm currently leading a group and working on various AI tasks, here's a brief introduction:

1. Detecting small objects in High-resolution images: we use deep learning to identify small eggs on High-resolution images:
-This project is from a government unit used to quickly screen/count dengue eggs.
- Fine-tuning/transfer learning on object detection model.
- Optimizing object detection model.
- Edge handling on a small block of the image set
- Docker and backend Service programing.

2. Image identification on a fast screening reagent:
-This project comes from the first few Japanese customers who produce rapid screening reagents. The customer needs a machine to automatically identify positive or negative.
-Designed an algorithm that can identify whether the result of disease detection on the embedded computer is positive or negative.

As image processing/deep learning Group Leader, new features development, host the weekly group meeting regularly and trouble Shooting, coordinated member’s tasks.

二月 2020 - 九月 2020

MIT - Visiting Researcher   Wistron


In 2020, I was fortunate to be a Visiting Engineer at MIT for eight months, I focus on the following topics with MIT professor:
1. Unsupervised learning algorithm
-Voxel morph algorithm.
-Application of supervised and unsupervised learning in the image detection of defective components in the factory.

2. Discussion on the processing of incorrectly marked data
-Use confident learning to remove incorrectly marked data.
-Use Co-teaching to reinforce training results
- This method defeated the previous algorithm, the lowest leak dropped from 1.2 to 0.7

3. Host meetings between MIT and internal members of the company.

九月 2015 - 二月 2020

AI/DL Engineer  Wistron


During this time, I participated in the following projects related to image processing/deep learning:

1. Liver/tumor semantic segmentation network:
- Cooperate with a hospital to develop a liver disease recognition system (has been exhibited in Nangang Exhibition Hall)
-Using a 3D semantic segmentation network to identify five different disease areas
-Processing various medical image formats (DICOM, NII)

2. As a team leader, I participated in the company's Golden Mind competition, and the baby camera project won third place.
-Develop an image classification system on Raspberry pie.

九月 2010 - 九月 2015

Senior Software Engineer  Wistron



Mainly engaged in front-end and back-end development of the website, making front-end and back-end supporting software for the company's products, the main work are:
1. Front-end and back-end software development
2. Android software development

Education 

2008 - 2010

National Taiwan University of Science and Technology

Master's degree Computer Science and Information Engineering

2004 - 2008

Ming Chuan University

Department of Computer and Communication Engineering

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