Pfhnhq8uugybvphwc6u2

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
Taichung, Taiwan
  1. 1.5 years Flutter experience.
  2. Kotlin/Swift Plugin experience.
  3. Third pard service within AWS EC2/Firebase experience.
  4. BLE device connect capibility.
  5. POC project header.
In the early stages of product development, I assisted the company in identifying new business directions and developing a Proof of Concept (POC) for the product. I collaborated closely with the executive team to establish the company's vision and strategy. In addition, I implemented a framework to increase transparency and streamline the process for launching new products.

Master - Computer Science • Tunghai University

Sep 2020 - Aug 2022 (2 years)
Taichung, Taiwan
Expirenced:
  1. Computer Science department - Research Assistant
  2. Computing Center of School - Network Management
  3. International Internship Development Center - Marketing Consultant Assistant
Paper Published:
  1. IEEE ECBIOS 2022
    1. "Using deep learning to predict mortality in myocardial infarction patients" 
    2. Paper ID: EC220126
  2. NCS 2021
    1. "The application of deep learning model in the prediction of myocardial infarction fatal complications" 
    2. Paper ID: 9545
  3. DLT 2020
    1. "Pattern Design for Detecting Malicious Network Behaviors Using Machine Learning"
    2. Award: Best Paper
Project:
  1.  "Smart Intensive Care Diagnosis System and New Model of Cross-hospital Practice" 
  2.  "Cloud Security and Privacy Mechanisms Against Coexistence and Its Application in Medical Care (3/3)"
  3.  "Edge Evidence Identify With Low Power Consumption With Lora & NB-IoT" 

Software Engineer Intern - SFT Dept. • Data Systems Consulting Co., Ltd.

Jan 2020 - Jun 2020 (0.5 years)
Taichung, Taiwan

  1. Develop and maintain backends with Java, Javascript
  2. Communicate with CE(customer engineer) and formulate system requirements
  3. 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)

Company: DATA SYSTEMS CONSULTING CO., LTD

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)

This project is mainly to overcome the high energy consumption and high cost of construction cost of traditional devices, so we have adopted two low-power long-distance transmission solutions, Lora and NB-IOT, as the core technologies of this project. 

Among them, the more suitable NB-IOT (Narrow-band) is selected as the final solution, and the encryption technology and disconnection reconnection mechanism are used as the final experimental core, and the feasibility evaluation is also carried out with the existing equipment.

APP/Cloud Engineer(2021-2022)

During the working period, I learned the Flutter framework and Dart language within three months, and developed the corresponding native plug-ins according to the needs, including the adjustment and interface for the bottom audio control center of IOS and Android. Learn Swift and the corresponding Kotlin language from scratch, and finally complete the development of this part of the plug-in in 2 months.

 I also used this learning experience to use my resume as Demo content, including personal basic information, learning experience, project experience and related statistical charts. The picture on the right is the Resume DEMO.

MI death prediction(2021-2022)

For medical-related research, we conduct research on "Myocardial Infarction Fatality Prediction". For this study, we used multiple datasets to conduct discussions and evaluations in different aspects, including the use of the UCI dataset and the MIMIC III dataset. In the research process, the availability of each available feature is analyzed and the data is processed correspondingly, and the model is trained to make predictions to obtain good prediction values. An explanatory analysis of the model results is also performed at the end. 

 It has also been published in various seminars in the past two years, including NCS 2021 and IEEE ECBIOS 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.





Powered By
CakeResume