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搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
職場能力評價定義
Owen Weng
Software engineer at Merry Electronics Co., Ltd.
I am a enthusiastic as well as perfectionist developer.
I'm currently working as a software engineer in the new product department at Merry Electronics.
Software Engineer - Frontier Products Dept. • Merry Electronics Co., Ltd.
Sep 2021 - present- 1.5 years Flutter experience.
- Kotlin/Swift Plugin experience.
- Third pard service within AWS EC2/Firebase experience.
- BLE device connect capibility.
- POC project header.
Master - Computer Science • Tunghai University
- Computer Science department - Research Assistant
- Computing Center of School - Network Management
- International Internship Development Center - Marketing Consultant Assistant
- IEEE ECBIOS 2022
- "Using deep learning to predict mortality in myocardial infarction patients"
- Paper ID: EC220126
- NCS 2021
- "The application of deep learning model in the prediction of myocardial infarction fatal complications"
- Paper ID: 9545
- DLT 2020
- "Pattern Design for Detecting Malicious Network Behaviors Using Machine Learning"
- Award: Best Paper
- "Smart Intensive Care Diagnosis System and New Model of Cross-hospital Practice"
- "Cloud Security and Privacy Mechanisms Against Coexistence and Its Application in Medical Care (3/3)"
- "Edge Evidence Identify With Low Power Consumption With Lora & NB-IoT"
Software Engineer Intern - SFT Dept. • Data Systems Consulting Co., Ltd.
- Develop and maintain backends with Java, Javascript
- Communicate with CE(customer engineer) and formulate system requirements
- Create several internal tools by Python, Batch
IEEE ECBIOS 2022 - Conference
Paper ID: EC220126
Title: Using Deep Learning to Predict Mortality in Myocardial Infarction Patients
Author Name: 林祝興, 翁鼎傑, 賈橋許
NCS 2021- Conference
Paper ID: 9545
Title: 適於心肌梗塞致死併發症預測的深度學習模型之探討
Author Name: 翁鼎傑, 賴俊鳴, 林祝興
DLT 2020 - Conference
Paper ID: 19
Title: 利⽤機器學習偵測網路惡意⾏為之模式設計
Author Name: 林祝興 ,陳彥翔, 翁鼎傑 ,李新平
Award: Best Paper
Project
2018NCPU(2018)
Work for:
1. transform UI design to code
2. Develop with five members
3. only do it about one week
ML detect malicious(2019)
Work for:
1.Planning the experiment's architecture and internal implementation
2. Developed with 1 member
3. Award DLT 2020 Best Paper
Software Engineer(2020)
Work for:
1. Customized projects
2. Internal authorization tools with Python
3. Internal version switching tool with Python and MSSQL
Shopee Crawler(2021)
Work for:
1. Python based crawler
2. Selenium Module
3. SQL Lite
4. Telegram notification
APP/Cloud Engineer(2021-2022)
Company: MERRY ELECTRONICS CO., LTD.
Work for:
1. Flutter application develop
2. Kotlin Plugin develop
3. Swift Plugin develop
4. Device Crawler develop
5. EQ Simulate algorithm
MI death prediction(2021-2022)
Work for:
1. Published in NCS 2021 Conference
2. Publishing in IEEE ECBIOS 2022 Conference
3. Using DeepLearning Module to predict with Different Database and feature.
Edge Evidence Identify(2022)
Work for:
1. low power transmission Module develop
2. NB-IOT Device and Lora Device
4. Encryption Algorithm
5. based on C++,Python
Edge Evidence Identify(2022)
APP/Cloud Engineer(2021-2022)
MI death prediction(2021-2022)
Autobiography
In addition to studying at the university stage, I will also study related fields outside of class, including participating in the development of the 2018 NCPU website, JAVA game interface and content development, and using what he has learned to implement ML to detect malicious behavior during the university period. I have curiosity and motivation to implement everything. I used to buy electronic materials and controllers to make a controllable kanban of my own for the electronic kanban that I had in mind. The computer center serves as the head of the network management team. Engineering for me is a job that I love and find myself in.
For the current research direction, it is to make a development in the part of machine learning. Especially after the implementation of the project in college (the pattern design of using machine learning to detect malicious behavior on the network), it is found that this is a direction that can be developed, and it can be applied in many places and can generate exquisite sparks.
Recently combined medical and machine learning and participated in two projects as project assistants "Smart Intensive Care Diagnosis and Treatment System and New Model of Cross-hospital Practice", "Cloud Security and Privacy Mechanisms Against Coexistence and Application in Medical Care (3/3)", I hope to be able to It can be developed in the field of smart medical care, and it will be of great help to doctors and patients. At present, the paper is submitted in NCS 2021, "The Application of Deep Learning Model in Prediction of Death Complications of Myocardial Infarction", the model prediction accuracy rate has reached 98%, and submitted in IEEE ECBIOS 2022,"Using deep learning to predict mortality in myocardial infarction patients", hope to be able to deeply cultivate in the AI-integrated industry, use AI-assisted transformation or create auxiliary prediction-related software to help the development of the industry.
In addition to AI-related projects, I will also start cross-platform APP development in 2022. Although there is no foundation, after a lot of exploration, I have achieved certain results, such as being able to develop native plug-in kits to make up for the lack of cross-platform languages. In the other hand, I also use Low-Power transmissions module includes Lora and NBIOT to compare and create a project for it.
Owen Weng
Software engineer at Merry Electronics Co., Ltd.
I am a enthusiastic as well as perfectionist developer.
I'm currently working as a software engineer in the new product department at Merry Electronics.
Software Engineer - Frontier Products Dept. • Merry Electronics Co., Ltd.
Sep 2021 - present- 1.5 years Flutter experience.
- Kotlin/Swift Plugin experience.
- Third pard service within AWS EC2/Firebase experience.
- BLE device connect capibility.
- POC project header.
Master - Computer Science • Tunghai University
- Computer Science department - Research Assistant
- Computing Center of School - Network Management
- International Internship Development Center - Marketing Consultant Assistant
- IEEE ECBIOS 2022
- "Using deep learning to predict mortality in myocardial infarction patients"
- Paper ID: EC220126
- NCS 2021
- "The application of deep learning model in the prediction of myocardial infarction fatal complications"
- Paper ID: 9545
- DLT 2020
- "Pattern Design for Detecting Malicious Network Behaviors Using Machine Learning"
- Award: Best Paper
- "Smart Intensive Care Diagnosis System and New Model of Cross-hospital Practice"
- "Cloud Security and Privacy Mechanisms Against Coexistence and Its Application in Medical Care (3/3)"
- "Edge Evidence Identify With Low Power Consumption With Lora & NB-IoT"
Software Engineer Intern - SFT Dept. • Data Systems Consulting Co., Ltd.
- Develop and maintain backends with Java, Javascript
- Communicate with CE(customer engineer) and formulate system requirements
- Create several internal tools by Python, Batch
IEEE ECBIOS 2022 - Conference
Paper ID: EC220126
Title: Using Deep Learning to Predict Mortality in Myocardial Infarction Patients
Author Name: 林祝興, 翁鼎傑, 賈橋許
NCS 2021- Conference
Paper ID: 9545
Title: 適於心肌梗塞致死併發症預測的深度學習模型之探討
Author Name: 翁鼎傑, 賴俊鳴, 林祝興
DLT 2020 - Conference
Paper ID: 19
Title: 利⽤機器學習偵測網路惡意⾏為之模式設計
Author Name: 林祝興 ,陳彥翔, 翁鼎傑 ,李新平
Award: Best Paper
Project
2018NCPU(2018)
Work for:
1. transform UI design to code
2. Develop with five members
3. only do it about one week
ML detect malicious(2019)
Work for:
1.Planning the experiment's architecture and internal implementation
2. Developed with 1 member
3. Award DLT 2020 Best Paper
Software Engineer(2020)
Work for:
1. Customized projects
2. Internal authorization tools with Python
3. Internal version switching tool with Python and MSSQL
Shopee Crawler(2021)
Work for:
1. Python based crawler
2. Selenium Module
3. SQL Lite
4. Telegram notification
APP/Cloud Engineer(2021-2022)
Company: MERRY ELECTRONICS CO., LTD.
Work for:
1. Flutter application develop
2. Kotlin Plugin develop
3. Swift Plugin develop
4. Device Crawler develop
5. EQ Simulate algorithm
MI death prediction(2021-2022)
Work for:
1. Published in NCS 2021 Conference
2. Publishing in IEEE ECBIOS 2022 Conference
3. Using DeepLearning Module to predict with Different Database and feature.
Edge Evidence Identify(2022)
Work for:
1. low power transmission Module develop
2. NB-IOT Device and Lora Device
4. Encryption Algorithm
5. based on C++,Python
Edge Evidence Identify(2022)
APP/Cloud Engineer(2021-2022)
MI death prediction(2021-2022)
Autobiography
In addition to studying at the university stage, I will also study related fields outside of class, including participating in the development of the 2018 NCPU website, JAVA game interface and content development, and using what he has learned to implement ML to detect malicious behavior during the university period. I have curiosity and motivation to implement everything. I used to buy electronic materials and controllers to make a controllable kanban of my own for the electronic kanban that I had in mind. The computer center serves as the head of the network management team. Engineering for me is a job that I love and find myself in.
For the current research direction, it is to make a development in the part of machine learning. Especially after the implementation of the project in college (the pattern design of using machine learning to detect malicious behavior on the network), it is found that this is a direction that can be developed, and it can be applied in many places and can generate exquisite sparks.
Recently combined medical and machine learning and participated in two projects as project assistants "Smart Intensive Care Diagnosis and Treatment System and New Model of Cross-hospital Practice", "Cloud Security and Privacy Mechanisms Against Coexistence and Application in Medical Care (3/3)", I hope to be able to It can be developed in the field of smart medical care, and it will be of great help to doctors and patients. At present, the paper is submitted in NCS 2021, "The Application of Deep Learning Model in Prediction of Death Complications of Myocardial Infarction", the model prediction accuracy rate has reached 98%, and submitted in IEEE ECBIOS 2022,"Using deep learning to predict mortality in myocardial infarction patients", hope to be able to deeply cultivate in the AI-integrated industry, use AI-assisted transformation or create auxiliary prediction-related software to help the development of the industry.
In addition to AI-related projects, I will also start cross-platform APP development in 2022. Although there is no foundation, after a lot of exploration, I have achieved certain results, such as being able to develop native plug-in kits to make up for the lack of cross-platform languages. In the other hand, I also use Low-Power transmissions module includes Lora and NBIOT to compare and create a project for it.