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Avatar of 陳奕妤.
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Past
Senior Data Analyst @趨勢科技
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Cathy Chen Sr. Data Analyst Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQL , R , Python and data analytics tools. Data Scientist, Data Analyst Taipei, Taiwan [email protected] Experience Sr. Data Analyst • TrendMicro NovNow Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard. Cross app data tracking and user journey analysis. VisionOne customers engagement score - the metrics can help fields to
python
R
SQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
統計資訊學系
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Avatar of the user.
Engineer @Trend Micro 趨勢科技
2021 ~ Present
Software Engineer
Within one month
C/C++
SQL
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
Computer Science
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Avatar of the user.
Past
程式設計師 @NEC (台灣恩益禧股份有限公司)
2022 ~ 2024
Front-End / Back-End / Full Stack Web Developer / Software Engineer
Within one month
Angular
JavaScript
TypeScript
Unemployed
Open to opportunities
Part-time / Remote Only
4-6 years
實踐大學高雄校區
資訊科技與通訊學系
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系統工程師 @臺北大數據中心
2021 ~ Present
後端工程師、SRE 工程師
Within one month
Kubernetes/Docker
OpenShift
OpenStack
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
世新大學 Shih Hsin University
資訊管理
Avatar of 張育誠.
Avatar of 張育誠.
Past
韌體工程師 @銓鼎科技
2017 ~ 2018
全端工程師 補習班講師
Within one month
師在程式、機構、3D繪圖、電路都要有一定涉獵。因此在這之間我除了複習以前學的solidworks、onShape等3D繪圖軟體、還要能寫Labview、JAVA、C++、python以及使用PCB Layout 軟體像是OrAcd跟EasyEDA。除了硬軟體外,還必須教學像是無人車追跡演算法、測程法、PID自動控制等將理論演算法
React.js
Vue.js
JavaScript
Unemployed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立交通大學
顯示工程研究所
Avatar of Wayne Huang.
Avatar of Wayne Huang.
Product Manager @Private Company in iGaming Industry
2021 ~ Present
PM/產品經理/專案管理
Within one month
樂玩家。 擅長危機處理,並擁有優異的抗壓性。 擅長消費者測寫與客戶喜好。 熟悉博奕 Content Provider / B2B 平台 / B2C 平台商業生態。 熟悉以整合行銷為核心結合不同手法創造有價值的行銷。 軟體能力 語言 學歷 Excel Python Adobe XD、Axure English — 精通 (TOEIC: 835) 中央大學資訊工程學系 ()
Integrated Marketing
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Communication
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
中央大學
資訊工程學系
Avatar of Ivan Lee.
Offline
Avatar of Ivan Lee.
Offline
AI應用工程師 @碁仕科技
2018 ~ Present
軟體工程師
Within one month
/change-the-world-with-technology Work experience AI senior engineer G4 technology compan y FEBJUL 2022 Taipei, Taiwan Recruit AI researchers and RD. Planning and project management. 1. Plan project development and project process 2. Organize the paper-sharing club 3. Plan coding style python with team members 4. Lead newcomers to familiarize the project and development AI junior engineer G4 technology compan y JanJan 2021 Taipei, Taiwan Research and developing visual recognition and control, using AI to solve multi-dimensional feature problems that cannot be handled by traditional methods, and making the
Python
Reinforcement Learning
Computer Vision
Studying
Intern / Interested in working remotely
4-6 years
長榮大學
企管系
Avatar of 呂學炘.
Avatar of 呂學炘.
Data Science @Alfred Labs.
2017 ~ Present
Within two months
Yoyo Lu, Data Analyst professional [email protected] Resourceful Data Analyst and Programmer with 5+ years of experience at Alfred Labs. Strong background in Mathematics and Computer Science. Adept at providing crucial analysis to cooperating teams. WORK EXPERIENCE Alfred Labs., Data Science, Jul 2017 ~ Present As an early employee of the company, I played a pivotal role in the development of our data infrastructure. This included the creation of robust ETL pipelines and automated dashboards, key advancements that enabled the entire organization to make data-driven decisions. My expertise in designing
Python
R
SQL
4-6 years
University of Taipei
Computer Science
Avatar of 蘇彥儒.
Avatar of 蘇彥儒.
Research Engineer @Asus 華碩電腦股份有限公司
2022 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
deep learning for recognition of ploidy status using time-lapse videos. Journal of assisted reproduction and genetics, 38(7), 1655–1663. https://doi.org//s技能 專業領域:Computer Vision, Image Processing, Machine Learning, Deep Learning 程式語言:Python, C/C++ 開發/部屬相關:OpenCV, Tensorflow, Pytorch, Docker 專案介紹 時尚服飾識別系統 2021/10~2022/9 時尚商品影像為消費者購買商品重
C
C++
Python
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學
資工工程學系
Avatar of 陳旻琳.
Avatar of 陳旻琳.
資深程式設計師 @緯創軟體股份有限公司
2022 ~ Present
程式設計師
Within one month
Lynn Chen (陳旻琳) Full-Stack Engineer Taipei, Taiwan Skills Main Skills HTML/CSS(SCSS)/Javascript Vue.js JAVA Spring Boot Git Self-learning Skills React.js C# .Net Bash Script Batch Python Language Skills Chinese (native) English (fluent) Korean (TOPIK II) Japanese (basic) Experience Senior JAVA Engineer • Wistron Information Technology & Services Corporation Expatriate to Cathay Life Insurance Co., Ltd. AprPresent Maintaining CRM system using JAVA and Vue.js. Developing CRM backend system using JAVA and Vue.js. Improved SQL performance for querying customers and insurance policy
JavaScript
JavaScript / ES6 / jQuery
HTML/CSS
Full-time / Interested in working remotely
6-10 years
台北市立大學
資訊科學

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Within one month
AI應用工程師 @ 碁仕科技
碁仕科技
2018 ~ Present
Taipei, 台灣
Professional Background
Current status
Studying
Job Search Progress
Professions
Machine Learning Engineer, AR/VR Engineer, Full Stack Development
Fields of Employment
Software
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Python
Reinforcement Learning
Computer Vision
ROS
Languages
Job search preferences
Positions
軟體工程師
Job types
Intern
Locations
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
長榮大學
Major
企管系
Print

Ivan Lee 李逸帆

Master of Computer Science

Hsinchu, Taiwan

       

Research and develop algorithms in my company. Cooperate with domestic and foreign manufacturers to use AI technology to solve problems that traditional algorithms cannot overcome. Completed or ongoing projects include defect detection, text recognition (OCR), airplane detection, random bin picking, bottle inspection, point cloud image cutting, and robotic arm grasping by reinforcement learning.

Cellphone: +886 0952152828
Gmail: [email protected]

Personal Web: https://www.ivan-lee.me/ 
Blog: https://medium.com/change-the-world-with-technology


Work experience



AI senior engineer

G4 technology company

FEB 2021 - JUL 2022
Taipei, Taiwan

Recruit AI researchers and RD. Planning and project management.

1. Plan project development and project process
2. Organize the paper-sharing club
3. Plan coding style python with team members
4. Lead newcomers to familiarize the project and development 

AI junior engineer

G4 technology company

Jan 2018 - Jan 2021
Taipei, Taiwan

Research and developing visual recognition and control, using AI to solve multi-dimensional feature problems that cannot be handled by traditional methods, and making the algorithm to achieve generalization and desired speed.

1. Develop vision algorithms
2. Research control algorithms of robotic-arm
3. Deploy algorithms to embedded machines (Nvidia AGX, Nvidia NX)
4. Track the latest cutting-edge journals and technologies

Project experiment

Robotic-arm random bin picking(Depth-Image)

Tensorflow、AlexNet、Cross entropy method

Traditional algorithms can only specify a single or few items after modeling. Using an AI algorithm, it can grasp various daily necessities or stationery (universal). As long as the width of the object gripper and a specific distance are met, 95% of daily life and household items can be grasped. In cooperation with the robotic arm team, the company's project has been able to grab a variety of daily necessities, including fried chicken legs and bundled wires (flexible objects).

Detecting the defects of industrial products

Tensorflow、Segmentation、Unet

Cooperate with well-known factories and manufacturers to detect the defects of various items. Traditional algorithms need to design multiple layers of logic and processing for complex images, but general-purpose neural networks can overcome this problem. Design a general-purpose model, so that the model (Segmentation) can be generalized and learned effectively. The objects include 17 kinds of items, such as tires, keyboards, PCB boards, metal welding objects, passive components, etc. Compared with traditional algorithms, it can effectively reduce development by 80%.

Robotic-arm automatic grasping (RGB-Image)

Tensorflow、Cross entropy method、Pybullet、Q-learning

The traditional algorithm relies on line scanning and surface scanning. After obtaining the point cloud, it performs a clamping calculation, path planning, and collision detection. The neural-like control method can directly use the color camera, save the expensive point cloud camera, and save all the aforementioned calculation processes, and dynamically execute the grasping strategy. At present, research in the virtual environment has achieved results. After transferring the model to the real world, it is expected to save 25% of the hardware cost of the gripping project and speed up the gripping time by 3 times. demo video:https://youtube.com/shorts/17ROS385zy4

Detect airplane

Pytorch、Yolov3、Jetson AGX、Jetson NX

Cooperate with a large domestic institution to detect aircraft on satellite images and actually deploy them on embedded machines after training.

Recognize nutrition label

Pytorch、OCR、crnn、scikit-image

Cooperate with well-known domestic retailers to test the nutrition labels and ingredients on bento boxes. The text recognition software on the market cannot detect special Chinese characters (words for nutrition), and the arrangement is too narrow. Therefore, according to the font used on the label, and the image characteristics of the actual scene, such as deformation and skewness, we provide customized products for customers. And passed the customer stress test: in addition to normal words, it can also issue warnings when there are defects or typos in the text, with an accuracy of 99%.

Detect bottles(RGB-Image、Depth-Image)

Tensorflow、Segmentation、Edge detection、Surface rebuild、Open3d

Transparent objects have always been a difficult problem in traditional algorithm detection. No matter the line scan, area scan, or depth camera, there will be refraction and transmission, and complete imaging cannot be achieved. Taking advantage of the neural-like feature of processing multi-dimensional information, a variety of models are used to restore the smooth point cloud on the transparent surface of the bottle, overcoming the problem that traditional algorithms cannot solve.

Point Cloud segmentation

Tensorflow、Mask RCNN

In the traditional method of point cloud calculation, the calculation time is too time-consuming, and the calculation is slow for the final prediction and grasping of traditional CAD. Combined with Instance segmentation to calculate point cloud, the efficiency is accelerated by 2~4 times.

Skills

Tools


  • Python
  • Tensorflow
  • Keras
  • Pytorch

OS


  • Ubuntu
  • ROS

Others


  • Git
  • Slack
  • Jira
  • MySQL

Education




National Yang Ming Chiao Tung University

Computer Science

2022/7 - present
Taipei, Taiwan

Research for reinforcement learning, robotic arm, computer vision, GAN, VR.

Institute for Information Industry

BigData Data Scientist Class

2017/2 - 2017/8

Learning Hadoop distributed systems, database planning, Linux operation, agile management.

Chang Jung Christian University

Bachelor of Business Administration

2012 - 2016

Organization and project management.

Lecture at Central University (2020/11 AI introduction)


Resume
Profile

Ivan Lee 李逸帆

Master of Computer Science

Hsinchu, Taiwan

       

Research and develop algorithms in my company. Cooperate with domestic and foreign manufacturers to use AI technology to solve problems that traditional algorithms cannot overcome. Completed or ongoing projects include defect detection, text recognition (OCR), airplane detection, random bin picking, bottle inspection, point cloud image cutting, and robotic arm grasping by reinforcement learning.

Cellphone: +886 0952152828
Gmail: [email protected]

Personal Web: https://www.ivan-lee.me/ 
Blog: https://medium.com/change-the-world-with-technology


Work experience



AI senior engineer

G4 technology company

FEB 2021 - JUL 2022
Taipei, Taiwan

Recruit AI researchers and RD. Planning and project management.

1. Plan project development and project process
2. Organize the paper-sharing club
3. Plan coding style python with team members
4. Lead newcomers to familiarize the project and development 

AI junior engineer

G4 technology company

Jan 2018 - Jan 2021
Taipei, Taiwan

Research and developing visual recognition and control, using AI to solve multi-dimensional feature problems that cannot be handled by traditional methods, and making the algorithm to achieve generalization and desired speed.

1. Develop vision algorithms
2. Research control algorithms of robotic-arm
3. Deploy algorithms to embedded machines (Nvidia AGX, Nvidia NX)
4. Track the latest cutting-edge journals and technologies

Project experiment

Robotic-arm random bin picking(Depth-Image)

Tensorflow、AlexNet、Cross entropy method

Traditional algorithms can only specify a single or few items after modeling. Using an AI algorithm, it can grasp various daily necessities or stationery (universal). As long as the width of the object gripper and a specific distance are met, 95% of daily life and household items can be grasped. In cooperation with the robotic arm team, the company's project has been able to grab a variety of daily necessities, including fried chicken legs and bundled wires (flexible objects).

Detecting the defects of industrial products

Tensorflow、Segmentation、Unet

Cooperate with well-known factories and manufacturers to detect the defects of various items. Traditional algorithms need to design multiple layers of logic and processing for complex images, but general-purpose neural networks can overcome this problem. Design a general-purpose model, so that the model (Segmentation) can be generalized and learned effectively. The objects include 17 kinds of items, such as tires, keyboards, PCB boards, metal welding objects, passive components, etc. Compared with traditional algorithms, it can effectively reduce development by 80%.

Robotic-arm automatic grasping (RGB-Image)

Tensorflow、Cross entropy method、Pybullet、Q-learning

The traditional algorithm relies on line scanning and surface scanning. After obtaining the point cloud, it performs a clamping calculation, path planning, and collision detection. The neural-like control method can directly use the color camera, save the expensive point cloud camera, and save all the aforementioned calculation processes, and dynamically execute the grasping strategy. At present, research in the virtual environment has achieved results. After transferring the model to the real world, it is expected to save 25% of the hardware cost of the gripping project and speed up the gripping time by 3 times. demo video:https://youtube.com/shorts/17ROS385zy4

Detect airplane

Pytorch、Yolov3、Jetson AGX、Jetson NX

Cooperate with a large domestic institution to detect aircraft on satellite images and actually deploy them on embedded machines after training.

Recognize nutrition label

Pytorch、OCR、crnn、scikit-image

Cooperate with well-known domestic retailers to test the nutrition labels and ingredients on bento boxes. The text recognition software on the market cannot detect special Chinese characters (words for nutrition), and the arrangement is too narrow. Therefore, according to the font used on the label, and the image characteristics of the actual scene, such as deformation and skewness, we provide customized products for customers. And passed the customer stress test: in addition to normal words, it can also issue warnings when there are defects or typos in the text, with an accuracy of 99%.

Detect bottles(RGB-Image、Depth-Image)

Tensorflow、Segmentation、Edge detection、Surface rebuild、Open3d

Transparent objects have always been a difficult problem in traditional algorithm detection. No matter the line scan, area scan, or depth camera, there will be refraction and transmission, and complete imaging cannot be achieved. Taking advantage of the neural-like feature of processing multi-dimensional information, a variety of models are used to restore the smooth point cloud on the transparent surface of the bottle, overcoming the problem that traditional algorithms cannot solve.

Point Cloud segmentation

Tensorflow、Mask RCNN

In the traditional method of point cloud calculation, the calculation time is too time-consuming, and the calculation is slow for the final prediction and grasping of traditional CAD. Combined with Instance segmentation to calculate point cloud, the efficiency is accelerated by 2~4 times.

Skills

Tools


  • Python
  • Tensorflow
  • Keras
  • Pytorch

OS


  • Ubuntu
  • ROS

Others


  • Git
  • Slack
  • Jira
  • MySQL

Education




National Yang Ming Chiao Tung University

Computer Science

2022/7 - present
Taipei, Taiwan

Research for reinforcement learning, robotic arm, computer vision, GAN, VR.

Institute for Information Industry

BigData Data Scientist Class

2017/2 - 2017/8

Learning Hadoop distributed systems, database planning, Linux operation, agile management.

Chang Jung Christian University

Bachelor of Business Administration

2012 - 2016

Organization and project management.

Lecture at Central University (2020/11 AI introduction)