# Experienced in programming and development
# Knowledge in Object-Oriented methodologies
# Solid hands-on development using Java
# Understanding of Microservices architectures
# Working experience in System analysis and design
# Familiarity in Agile environment
# Certified ScrumMaster by Scrum Alliance
# Working knowledge of full-stack web technologies
# Master's Degree and Bachelor's Degree in Computer Science
# Strong problem-solving, effective time management, and flexible ability
Schepens Eye Research Institute of Mass. Eye and Ear is one of the largest eye research institutes in the nation and an affiliate of Harvard Medical School.
Our lab focused on developing applications for animal testing, clinical trials, and teletherapy.
In this position, problem-solving, time management, and flexible ability are very important because I'm in charge of many projects and I responsible for almost all developing so I need to learn by myself for solving those tasks.
The animal testing project is about visual acuity and contrast sensitivity examination, we called OMR (optomotor response) and OKR (optokinetic response).
Also, we provided mobile apps for clinical trials and teletherapy to Identify the symptoms of different eye diseases.
Our mobile apps can test visual acuity, refraction, contrast sensitivity, and dark adaptation without going to the hospital.
FarEasTone Telecom is the major telecom in Taiwan. Our department provides a mobile payment service.
Member of the back-end service team, I'm responsible for the transaction platform which provides API for the mobile app and retailers.
During this position, I got solid hands-on development using Java, Spring frameworks and Spring Boot.
Work experience in Microservices architecture and cloud services developing. Knowledge of database and cache technologies MySql, Redis, Guava, Caffeine.
Except for development, I'm also the Certificated ScrumMaster in the team to help projects run in Agile.
Tungnan University was originally established in 1970 in New Taipei City, Taiwan.
I joined the team of the computer center as the senior software engineer and responsible for revamping systems to the web application.
During the position, I revamp the original systems to the web application and provide the API for concatenation between systems.
All of the web application I developed by using PHP with a framework CodeIgniter to implement MVC architecture.
The front-end technologies including JavaScript, JQuery, HTML, CSS, BootStrap. Database technologies such as MySQL, SQLServer.
Fashion Guide is a popular website combined with social media that shares fashion trends for cosmetics and skincare products in Taiwan.
I'm the full-stack developer in the engineering team, responsible for the online forum and survey platform website.
During the position, I got the chance to participate in the project to revamp the platform programing language from ASP to PHP with the framework CodeIgniter to implement MVC architecture. The front-end website by using JQuery, Javascript.
Channel M focuses on integrated internet marketing.
I'm the full-stack developer in the engineering team to develop events websites.
Our projects all developing by using JQuery and JavaScript for the front-end and PHP with framework Smarty for the back-end.
During the research, I created a program to dump the data of real estate from the internet by using Java and created another program to process the data by using Matlab. There is the research abstract below.
This thesis reports forecasting house prices by using a district classification support vector regression (DCSVR) model. In general, house prices have nonlinear and clustering properties. Thus, in this study, a support vector regression (SVR) model was used to perform district classification and the results are presented in this thesis. We executed the following procedures: First, the house data were classified according to the district in which the house was located. Second, the classifications conducted in the first stage were used to establish the SVR model, which was used to reduce the complexity of the problem. The proposed model is highly nonlinear and complex. Thus we present an iterative algorithm based on a genetic algorithm for optimizing the parameters of the DCSVR model.