Hehan Xie

Los Angeles, CA adm10b@r.postjobfree.com 213-***-**** github.com/hehanxie linkedin.com/in/hehanxie EDUCATION

University of Southern California, Los Angeles Aug 2019 - May 2021 Master of Science, Applied Data Science

Xiamen University TKK College, Zhangzhou, China Aug 2014 - July 2018 Bachelor of Engineering, Software Engineering

WORKING EXPERIENCE

Amazon, Software Development Engineer Intern May 2020 - Aug 2020

• Improved the customer experience for “play new music” in Amazon Voice Experience Team

• Implemented an post processor interface to generate personalized playlist for custom

• Built a Multi Arms Bandit model using the context vector and action vector to pick the best playlist

• Created unit test for refactoring and new functions with Junit 5

• Deployed NewMusic project via CI/CD pipelines

Fujian Joyusing Tech Co., Ltd., C++ Developer Intern June 2017 - July 2017

• Collaborated with the team to extend OpenCV framework using C++

• Implemented an interface to pre-precessing image for further processing

• Developed an interface to extract desired features of image

• Implemented character segmentation algorithm for character training and recognition PROJECTS

Waifu Generator – Python Sep 2020 - Dec 2020

• Collaborated with 3 students to design a new anime characters generator based on draft drawn by users

• Coded image process using OpenCV to extract color and contour from draft then sent to AE model

• Built and trained AE model(1 million images) to generate a more professional sketch based on draft then sent to GAN model

• Combined sketch and color hint from draft to build and train GAN model to generate a more colorful and professional anime

Recommendation System for Yelp Data – Python April 2020 - May 2020

• Built a hybrid recommendation(500k data) using Min-Hash, LSH algorithm processed by Spark RDD and Hadoop MapReduce

• Built item-based CF and user-based CF models then used models to generate the prediction

• Combined CF models and KNN method to decrease the RMSE International Football Result Analysis – Python Sep 2019 - Nov 2019

• Collaborated with a graduate student to build a website to implement data analysis, data visualization and result prediction

• Data queries using Firebase to search and filter features

• Built a KNN model to deal with missing data and used K-Fold method for Cross-Validation Driver’s License Recognition System – C++ Aug 2017 - June 2018

• Collaborated with teacher to build a recognition system to identify people’s id from driveling license

• Pre-process image including skew correction, feature extraction, character segmentation

• Built a model based on CNN to identify the characters including numbers and words

• Published paper “Design and Implementation of Driver’s License Recognition System” in 2018 ICCSE,

[ISSN:2473-9464, Vol 13, Issue 1, Sep 2018]

Smart Car Lab, Team Leader – C Oct 2015 - July 2016

• Built a self-drive car based on K60 single chip and OV7725 camera sensor

• Designed image processing algorithm for route and barrier recognition

• Designed linear and regression methods to fit and predict route to make sure car can drive smoothly and fast

• Awarded in 2016 The 11th NXP Cup National University Students Intelligent Car Race (Camera Group, Southern China Area)

TECHNICAL SKILLS

Programming Languages: C/C++, Python, Java, SQL

Applications: Git, Linux, Spark, Hadoop MapReduce, MySQL, Oracle, Junit 5, MarkDown

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