Yuyang (Eddie) Yu

• Proficient with Java, Python, C/C++, Objective-C, Swift, R, MATLAB, SQL, AWS, TensorFlow, Keras, Spark, Hadoop, MXNet-Gluon, IoT, PHP, MySQL, SQLite, HTML/CSS.
• Native in Chinese; Fluent in English.

University of Washington

M.S. in Computer Science and Systems • Expected Dec 2017

Cumulative GPA 3.9

• Selected for Golden Key International Honor Society
• Selected for Upsilon Pi Epsilon Honor Society

University of Liverpool

B.S. in Internet Computing • Sep 2014 — Jun 2016

First Class Degree (Top 10%)

• Final year project "Dementia Patient Monitoring and Care Support" were highly recommended to be kept in campus library

Xi'an Jiaotong - Liverpool University

B.S. in Information and Computing Science • Sep 2012 — Jun 2014

First Class Degree (Top 10%)

• Outstanding individual of Student Union
• Outstanding activity planner of Youth Volunteer Association in XJTLU
• University scholarship for 2 years

CIFAR-10 on Kaggle with MXNet (Computer Vision)

Independent Project • Oct 2017 — Nov 2017

Hands on different CNN architectures to identify the subject of 60,000 labeled images

• Achieved 95.34% accuracy.
• Earned Top 5 Award in Amazon MXNet Community by implementing AlexNet, VGG, ResNet and DenseNet in MXNet-Gluon, leading to 95.34% ensemble accuracy.
• Reduced training time from days to hours by deploying Amazon AWS GPU instances based on NVIDIA CUDA.

User Profiling in Facebook (Machine Learning)

Team Leader & Primary Developer • Feb 2017 — May 2017

To build a system for auto-recognition of the age, gender and OCEAN personality

• Achieved the highest accuracy among twenty teams w.r.t. all 3 targets by ensemble learning 12 models.
• Used image data by transfer learning Google Inception-V3 and implementing 2 CNN models in TensorFlow.
• Used text data by applying Naïve Bayes and TF-idf based SVM classifiers in Python.
• Used users’ likes by implementing KNN, page-user-page, SVD based LR, and a Perceptron NN in Keras.

Smart Light System (iOS App + AWS-IoT)

Individual Project • Apr 2017 — May 2017

First attempt to intelligent homes. Not only can it auto-control lights, but also managed remotely

• Accomplished a remote light control system by developing a client-side mobile app in Swift and employing AWS Congnito and AWS IoT as server-side.
• Employed PIR motion sensors to automatically control lights under auto mode.

Dementia Patient Monitoring and Care Support (iOS App)

Individual Project • Jan 2015 — Jan 2016

To develop a mobile based app to help both early-stage dementia patients and their carers

• Top-rated final year project of University of Liverpool in 2016, and is kept in campus library.
• Accomplished this project by implementing an iOS app in Objective-C with MySQL and PHP based backend.
• Allowed early-stage dementia patients live at home with daily issue reminder, built-in map navigator, and an instant message system. Enabled caregivers to track patients’ daily issue progresses and real-time locations.
• Ensured robust services and database consistency under poor network connectivity by employing local SQLite.

Cloud Campus (Social Networking Website)

Founder & Primary Developer • Jan 2015 — Jun 2015

To promote organizations’ developments and enhance students’ communications

• Used HTML/CSS, PHP, JavaScript and MySQL to implement the website.
• Students can not only connect friends and share their moments as traditional social webs, but also share their plans and events in real-time with friends.

Calix

Software Engineering Intern • Jun 2014 — Aug 2014

• Participated in Calix’s home gateway management software Consumer Connect development.
• Completed several major feature developments, such as Wi-Fi diagnostic attributes display, Gateway parental control and web access scheduling.
• Hands-on working experience in web Cloud software development team.

• Neural Networks and Deep Learning by deeplearning.ai on Coursera. Certificate earned on September 1, 2017.
• Improving Deep Neural Networks by deeplearning.ai on Coursera. Certificate earned on September 7, 2017.
• Structuring Machine Learning Projects by deeplearning.ai on Coursera. Certificate earned on September 14, 2017.
• Convolutional Neural Networks by deeplearning.ai on Coursera. Certificate earned on January 25, 2018.

• Computer Vision.
• Data Mining and Machine Learning.
• iOS development.
• Algorithms.

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