Assistant Machine

Zhenghao Jin

Roosevelt Island, NY ***** • 917-***-**** • ************@*****.***

EDUCATION

New York Institute of Technology, New York, NY 05/2019

Master of Science in Computer Science

GPA 4.0

ShenZhen University, ShenZhen, China 06/2016

Bachelor of Engineering in Automation

SKILLS

• Java, C#, Python, Swift, CSS/html5, Javascript, MySQL, Excel, Hadoop, Linux, Machine Learning

• Ability to quickly learn and master new databases and software

• Fluent in Mandarin, Basic Japanese

PROFESSIONAL EXPERIENCE

Intern, BoBuy - Exclusive Deals on Services, Hong Kong, China 01/2019—05/2019

• Established the company's website for user to visit by using html5/CSS and JavaScript.

• Optimized the website performance such as Gif graphic.

Graduate assistant, New York Institute of Technology, New York City, NY 08/2018—05/2019

• Assisted professor in research topics: Speech recognition by using machine learning

• Designed a machine learning based system to recognize the emotions of people's speech

• Analyzed over seven thousand speech clips for data collection with Python and numpy

Intern, Lian Suo robot training center, ShenZhen, China 06/2015—06/2016

• Established an industrial robot production line by using six different types of industrial robots with different processing tasks the connection between the robots is based on the computer vision by using C# and TCP/IP.

• Presented the complete control of the cooperative visual communication signal of the industrial robot is performed by using Java for PC.

PROJECT EXPERIENCE

Library system, New York Institute of Technology, New York, NY 02/2019—05/2019

• Established a book management system that includes two groups of users and books.

• Designed and built a MySQL relational database.

• Performed an interface for different user group to manipulate by using Java.

Emotion recognition system, New York Institute of Technology, New York, NY 06/2018—05/2019

• Established a speech recognition system with an accuracy rate of 68% by using Support Vector Machine (SVM) when the accuracy of the user's judgment is only 42% which is based on python.

• Extracted and processed data set suitable for machine learning specifications from the WMV file using the data.

• Combine two different machine learning algorithms to achieve a system accuracy of 70%.

PUBLICATIONS

• Zhenghao Jin and Houwei Cao. “Development of Emotion Rankers Based on Intended and Perceived Emotion Labels” in Interspeech 2019.

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