KEJO HSIEH
https://kyujyokei.github.io/ *********@*****.*** 626-***-**** Irvine, CA 92620
EDUCATION
Oregon State University Intended Graduation: June 2019 M.S., Computer Science Cumulative GPA: 3.9
Relevant Courses: Data Structures / Software Engineering / Algorithms TA Experiences: CS340 Databases / CS361 Software Engineering / CS562 Software Project Management National Taiwan Univ. of Tech. and Science Graduation Date: June 2013 B.S. Commercial Design Cumulative GPA: 3.6
TECHNICAL SKILLS
Languages: Python, JavaScript, Java, HTML, CSS, SQL Frameworks: Spring, Node.js, React, Angular, Git, MongoDB Others: AWS (Amazon Web Service), Agile methodology INTERNSHIP
Full-stack Developer Sep 2016 – Jan 2017
National Chiayi University Big Data Laboratory, Chiayi, Taiwan Demo Video: https://youtu.be/Bv3zLM6icWc
Built Waterlog: An motivational app that records user’s water intake with a special self-measuring cup, checks if the user is hydrated, and sends notifications to remind the user to drink enough water to meet the daily goal.
Implemented with iOS app and Arduino hardware sensor. Used Firebase to allow dynamic data storage.
Reduced 95% of input time and improved accuracy of measurements by 40% compared to other apps. PERSONAL PROJECTS
Resumaker – Web-Scraping Resume Generator – Full-stack Developer June 2018 – Current https://resumaker-alpha.herokuapp.com/
Resumaker helps engineers to save time when applying for different jobs. The user only needs to input a comprehensive resume, then every time a job description URL is given, Resumaker scrapes the job’s web page, detects required skills, and generates a resume that makes the best fit.
Improves 80% of job applying efficiency comparing to manual applications.
Built backend server with Node.js. Implemented database with MongoDB and Mongoose. Authenticates users with JSON Web Token. Enables CORS. Encrypts and validates user passwords with bcrypt. Created RESTful API.
Built frontend with React.js framework. Implemented routing with react-router-dom, managed states with Redux. Used Axios and AJAX to make HTTP request. Deployed with Heroku and Git.
Achieved 90% unit test coverage using Supertest. Course Register Web App - Full-stack Developer March 2019 – April 2019
Implemented a course registration system for students and teachers.
Implemented frontend with Angular 6.0, server with Spring, and database with MySQL. Managed database with Hibernate, deployed on AWS.
Built RESTful API to communicate between frontend and backend. NDF - Dynamic Shopping List with Machine Learning – Full-stack Developer Sep 2017 – Current
Guides users to shop for required supplies to make preparations in case natural disasters happen. The gamified experience encourages people to make preparations and share their results. Implemented with Node.js, React.js.
Used Tensorflow.js and ML5 to apply machine learning functionalities. Used trained model from Mobile Net.