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职场能力评价定义
劉律奇Leo Liu
I am currently studying for a Master's degree in the Institute of Computation and Modeling Science (ICMS) at National Tsing Hua University. My research interests are in AI, object detection, defect detection, and Data science. Prior to this, I worked as a data scientist in the data department of AVATACK CO., LTD., where I was incharge of the Data Lake, data analysis, AI research and applications.
https://github.com/leoliu5550 https://www.linkedin.com/in/leo-liu-aa83721b3/ [email protected]
Education
National Tsing Hua University 2022 - now
Institute of Computation and Modeling Science
Fu Jen Catholic University 2016 - 2020
Department of statistics and information Science
Work and Competition Experience
2023 Mei-chu Hacksthon-NXP (third place) - Green Travelers Green Taxi!
清華 • Sept 2022 - Present
I played a key role in constructing and optimizing an embedded object detection model with an 86% recall rate on the i.MX RT1060EVK, enabling real-time identification of people and taxis in a streaming monitor, enhancing traffic efficiency and minimizing vehicle idling.
Machine Learning Intern
Jubo Health • Jul 2023 - Sept 2023
The internship focused on creating a Conversational User Interface (CUI) for a voice input system to streamline nurses' indirect care tasks, particularly administrative paperwork, aiming to enhance note-taking efficiency and minimize human errors. It estimated a reduction of nurses' note-taking time by 1 hour in one shift.
OAC Consultant
Symbio, Inc. • Jun 2022 - Jul 2022
As an OAC consultant at BenQ, I specialized in guiding users to master Oracle Analytics Cloud for effective data visualization. I also set up vital data infrastructure to optimize user operations and created and delivered 15 personalized tutorial courses tailored to user needs.
Data Scientist
Symbio, Inc. • Oct 2019 - May 2022
As a data scientist at Four-Dimensional Innovative Materials, I specialized in governance and data integration analysis for the group's data platform, with responsibilities spanning optimization of production process conditions, predictive equipment maintenance, and upkeep and enhancement of the Business Intelligence (BI) system.
Skill
Data Science
- Industrial data analysis
- Health data Analytics
- Statistical Analysis
AI
- Object detection
- Machine Learning
- LLM application
programming
- python
- SQL
- AWS, Oracle cloud, GCP
Project durning graduate
Mathematical Modeling and Analysis-Lotka-Volterra equation analysis
Topics on Applied Mathematics - YoloV3 on IPCam DataSet(on tensorflow2)
Special Topics on Scientific Computing - YoloV7/DDN/DERT on AOI Dataset(on pytorch)
The Study of User and Chatbot Design - wound detection&chatgpt linebot on aws service
Project
2023 Mei-chu Hacksthon
2023 Mei-chu Hacksthon-NXP (third place)
- Green Travelers Green Taxi!
In the i.MX RT1060EVK, object detection is embedded to detect the number of people and taxis, which increases traffic convenience and reduces the idling time of vehicles. I was responsible for building and quantizing the object detection model, which can detect all people and taxis in a streaming monitor.
The real-time model's recall achieved 86%. SLIDES, picture reference
Jul 2023 - Sept023
Taipei, Taiwan
Machine Learning Intern
Smart Ageing Tech Co., Ltd.
The internship aimed to develop a Conversational User Interface (CUI) for a voice input system, intending to alleviate the time spent by nurses on indirect care tasks, such as administrative paperwork. The goal was to eliminate the limitations nurses face in note-taking during care, thereby reducing the occurrence of human errors in data generation.
It estimated a reduction of nurses' note-taking time by 1 hour in one shift.
The internship involved collaboration with the National Taiwan University (CAE) and received recognition in an internship competition.
Jun 2022 - Jul 2022
Taipei, Taiwan
OAC Consultant
BENQ CORPORATION.
- Assisted users in acquiring proficiency with visualization software, specifically Oracle Analytics Cloud.
- Established essential data infrastructure to support user operations effectively.
- Created and delivered 15 personalized tutorial courses tailored to user needs.
Oct 2019 - May 2022
Taipei, Taiwan
Data Scientist
FOUR PILLARS ENTERPRISE CO., LTD.
After completing my Statistics and Information Science degree, I began my career as a data scientist in the core data department at FOUR-PILLARS. I was responsible for optimizing production process conditions, implementing predictive maintenance for equipment, and maintaining and developing the company's Business Intelligence (BI) system.
Project as Data Scientist
in 2019~2022
AI automated detection
As certain products necessitate manual inspection, this process is susceptible to individual subjectivity, variations in training, fatigue, and distractions. These factors contribute to inconsistent inspection standards.
MAIN RESULTS:
- BUILD Defect Detection AI model with 93% mAP
- Testing result's Variance lower 0.15
Automatic Virtual Metrology
Due to the inherent nature of the product properties, all product testing is conducted through destructive methods, making it impractical to test each individual product. However, by gathering sensor data within the production facility, we can leverage machine learning technology to train an AI model.
MAIN RESULTS:
- Enhance yield rate by up to 21%
- Improve product quality by 13%
- Decrease losses from customer complaints by 5.4 million NTW
Multi-dimensional Visualization Dashboard
Designing a data model and creating dashboards for Sales, Finance, and Production on Oracle Analytics Cloud has helped project-related personnel save 3-4 days per month.
Product Traceability system
Create a data pipeline that integrates Manufacturing Execution System (MES), Enterprise Resource Planning (ERP), and sensor data within the production facility. This pipeline will assist production technicians in monitoring products along the production line and preparing for AI applications.
劉律奇Leo Liu
I am currently studying for a Master's degree in the Institute of Computation and Modeling Science (ICMS) at National Tsing Hua University. My research interests are in AI, object detection, defect detection, and Data science. Prior to this, I worked as a data scientist in the data department of AVATACK CO., LTD., where I was incharge of the Data Lake, data analysis, AI research and applications.
https://github.com/leoliu5550 https://www.linkedin.com/in/leo-liu-aa83721b3/ [email protected]
Education
National Tsing Hua University 2022 - now
Institute of Computation and Modeling Science
Fu Jen Catholic University 2016 - 2020
Department of statistics and information Science
Work and Competition Experience
2023 Mei-chu Hacksthon-NXP (third place) - Green Travelers Green Taxi!
清華 • Sept 2022 - Present
I played a key role in constructing and optimizing an embedded object detection model with an 86% recall rate on the i.MX RT1060EVK, enabling real-time identification of people and taxis in a streaming monitor, enhancing traffic efficiency and minimizing vehicle idling.
Machine Learning Intern
Jubo Health • Jul 2023 - Sept 2023
The internship focused on creating a Conversational User Interface (CUI) for a voice input system to streamline nurses' indirect care tasks, particularly administrative paperwork, aiming to enhance note-taking efficiency and minimize human errors. It estimated a reduction of nurses' note-taking time by 1 hour in one shift.
OAC Consultant
Symbio, Inc. • Jun 2022 - Jul 2022
As an OAC consultant at BenQ, I specialized in guiding users to master Oracle Analytics Cloud for effective data visualization. I also set up vital data infrastructure to optimize user operations and created and delivered 15 personalized tutorial courses tailored to user needs.
Data Scientist
Symbio, Inc. • Oct 2019 - May 2022
As a data scientist at Four-Dimensional Innovative Materials, I specialized in governance and data integration analysis for the group's data platform, with responsibilities spanning optimization of production process conditions, predictive equipment maintenance, and upkeep and enhancement of the Business Intelligence (BI) system.
Skill
Data Science
- Industrial data analysis
- Health data Analytics
- Statistical Analysis
AI
- Object detection
- Machine Learning
- LLM application
programming
- python
- SQL
- AWS, Oracle cloud, GCP
Project durning graduate
Mathematical Modeling and Analysis-Lotka-Volterra equation analysis
Topics on Applied Mathematics - YoloV3 on IPCam DataSet(on tensorflow2)
Special Topics on Scientific Computing - YoloV7/DDN/DERT on AOI Dataset(on pytorch)
The Study of User and Chatbot Design - wound detection&chatgpt linebot on aws service
Project
2023 Mei-chu Hacksthon
2023 Mei-chu Hacksthon-NXP (third place)
- Green Travelers Green Taxi!
In the i.MX RT1060EVK, object detection is embedded to detect the number of people and taxis, which increases traffic convenience and reduces the idling time of vehicles. I was responsible for building and quantizing the object detection model, which can detect all people and taxis in a streaming monitor.
The real-time model's recall achieved 86%. SLIDES, picture reference
Jul 2023 - Sept023
Taipei, Taiwan
Machine Learning Intern
Smart Ageing Tech Co., Ltd.
The internship aimed to develop a Conversational User Interface (CUI) for a voice input system, intending to alleviate the time spent by nurses on indirect care tasks, such as administrative paperwork. The goal was to eliminate the limitations nurses face in note-taking during care, thereby reducing the occurrence of human errors in data generation.
It estimated a reduction of nurses' note-taking time by 1 hour in one shift.
The internship involved collaboration with the National Taiwan University (CAE) and received recognition in an internship competition.
Jun 2022 - Jul 2022
Taipei, Taiwan
OAC Consultant
BENQ CORPORATION.
- Assisted users in acquiring proficiency with visualization software, specifically Oracle Analytics Cloud.
- Established essential data infrastructure to support user operations effectively.
- Created and delivered 15 personalized tutorial courses tailored to user needs.
Oct 2019 - May 2022
Taipei, Taiwan
Data Scientist
FOUR PILLARS ENTERPRISE CO., LTD.
After completing my Statistics and Information Science degree, I began my career as a data scientist in the core data department at FOUR-PILLARS. I was responsible for optimizing production process conditions, implementing predictive maintenance for equipment, and maintaining and developing the company's Business Intelligence (BI) system.
Project as Data Scientist
in 2019~2022
AI automated detection
As certain products necessitate manual inspection, this process is susceptible to individual subjectivity, variations in training, fatigue, and distractions. These factors contribute to inconsistent inspection standards.
MAIN RESULTS:
- BUILD Defect Detection AI model with 93% mAP
- Testing result's Variance lower 0.15
Automatic Virtual Metrology
Due to the inherent nature of the product properties, all product testing is conducted through destructive methods, making it impractical to test each individual product. However, by gathering sensor data within the production facility, we can leverage machine learning technology to train an AI model.
MAIN RESULTS:
- Enhance yield rate by up to 21%
- Improve product quality by 13%
- Decrease losses from customer complaints by 5.4 million NTW
Multi-dimensional Visualization Dashboard
Designing a data model and creating dashboards for Sales, Finance, and Production on Oracle Analytics Cloud has helped project-related personnel save 3-4 days per month.
Product Traceability system
Create a data pipeline that integrates Manufacturing Execution System (MES), Enterprise Resource Planning (ERP), and sensor data within the production facility. This pipeline will assist production technicians in monitoring products along the production line and preparing for AI applications.