Atlanta, GA, 30024• (706)-296-2347 • liuzhaochong@gmail.com
OBJECTIVE
Currently seeking a position as a software developer.
CORE COMPETENCY
● Master degree in Computer Science focused on Big Data area
● Experienced with full stack web application development
EDUCATION
The University of Georgia, Athens, GA August 2013 – August 2016
Master of Science in Computer Science
Tianjin University of Technology, Tianjin, China August 2009 – June 2013
Bachelor of Science in Computer Science
SKILLS & ABILITIES
Windows Linux Android Java Scala Python MySQL Splunk CSS3 HTML5 Javascript Git
WORK EXPERIENCE
Hisense USA Multimedia R&D Center Inc. Suwanee, Georgia, U.S.A.
Software Engineer August 2017 – Now
● Designed and developed a test suit to test and debug the Javascript interfaces on Linux based TV platform using node.js and express framework
● Designed and developed the ACR (Automatic Content Recognition) function on Hisense Android TV with the engineering team. Mainly responsible for the higher application level function and the communication with the lower level SDKs.
● Established and managed PRDs for certain functions for different models of the TV products.
● Configure, test and analyze the integrated applications on Hisense TVs and provide tech support for the partners
● Compare Hisense TV products with the competitors’ products and analyze the pros and cons of each product.
● Brainstorm new ideas and define features on the new models in the coming year with the Software team and Marketing team based on the summary of marketing requirements, latest standards of functions, up to date technologies etc…
● Review UXD with the marketing team as a tech assessment role.
● Review LIT and SIT test cases according to the products with the Engineer team and QA team.
● Responsible for the certification processes of the new functions added to Hisense TVs.
Mentor National Inc. Alpharetta, Georgia, U.S.A.
Software Engineer December 2016 – January 2019
● Developed and maintained the website (mentornational.com) in two languages versions using thinkPHP framework as a full stack developer
● Developed the website (Wholede.org) from scratch in two languages versions using node.js express framework as a full stack developer
● Worked with the design team to accomplish the visualization of the website
The Coca-Cola Company Atlanta, Georgia, U.S.A.
System Engineer Intern September 2016 – December 2016
● Used Splunk developing a monitoring system to alert the failure jobs, overtime jobs and not started on time jobs by sending emails to people who may concern
● Used Simple XML customized the dashboard in Splunk which shows the real-time job status
● Configured Splunk instances on top of Linux Red Hat operating system
● Reported the progress every morning to the team and presented the result every week to the manager which considered as an Agile workflow
Medical Robotics Lab UGA, Georgia, U.S.A.
Software Engineer September 2014 – December 2015
● Developed and maintained a website which introduces the work and the progress of it
● Developed and maintained a website which can let the user do keyword search on dumped twitter data
● Developed a program dumps 1% twitter data by using Twitter Streaming API
● Used virtualenv on top of Linux Red Hat system creating the Python environment
● Used Flask Framework and Jinja2 as template developing the website
● Used MySQL 5.6 as the Database to manage the user information
SELECT MASTER’S PROJECTS
Movie Rater Based on Reviews May 2015
● Used Spark extracting all the correlated reviews and scores of about 300 thousand titles from IMDB
● Used Hadoop to employ Naïve Bayes to do the analysis
● Tested the rules with the most popular 250 movies on IMDB
Parallelization Optimizations of Multiple Regression Techniques using ScalaTion December 2014
● Developed the java program to compare the running time between Inverse, Normal Equation and QR Decomposition in doing regression
● Developed the java application which compares the performances when using different ways in serial, parallel and CUDA
● Used SBT as the build tool and Linux Red Hat as the operating system
● Used Inverse method, Normal Equation method and QR Decomposition do the Multiple Linear Regression
