Engineer Electrical Engineering

Qian(Kevin) Liu

**** * ***** ******, ********* WA, 98133 314-***-**** ***************@*****.*** http://qianliukevin.com SUMMARY

§ Looking to join relevant cross-functional teams as a software development engineer EDUCATION

Washington University in St. Louis, St. Louis, MO May 2017 Dual-degree Program:

Master of Science in Electrical Engineering, GPA 3.63/4.0 Master of Science in Data Analysis and Statistics, GPA 3.60/4.0 Beijing University of Posts and Telecommunications, Beijing, China July 2015 Dual-degree Program: major GPA 3.50/4.0

Bachelor of Engineering, Telecommunications Engineering with Management Bachelor of Engineering, Queen Mary University of London, U.K SKILL HIGHLIGHS

Languages: Python, C/C++, Java, SQL, CSS, HTML, Matlab, JavaScript, Bootstrap, JSON. Libraries/Frameworks: OpenCV, Tensorflow, Caffe, Torch, Keras, CNTK, Hadoop, Spark, Hive, Docker, Nginx. Others: Linux, Git, AWS, Google Cloud Platform, Eclipse, Visual Studio, Xcode, Weka, MySQL. Related Courses: Machine Leaning, Cloud Computing, Advance Algorithm, Data Mining, Artificial Intelligence. Java programming, Software Engineering, web programming, Network Programming. PROFESSIONAL EXPERIENCE

Research Assistant, Washington University, St.Louis, MO Sep. 2016 – Mar.2017

• Implemented unsupervised learning (PCA, SVD, ICA) for gene selection and supervised learning (Random Forest, Naïve Bayes, Neuro Network and SVM) for Alzheimer’s disease classification given 2GB real gene dataset.

• Developed three Bayesian Network models to decode the neural activity of simple organisms. Software developer intern, Network Information Centre, BUPT, Beijing, China July 2014 – Aug. 2015

• Implemented network protocol test on IPv6 over low-power wireless personal area network using Java and TTCN3.

§ Conducted XML data codec/decode of the IPv6 nameplate and ICMPv6 Echo-Request message using java. Intern, Zhongxing Telecommunication Equipment Corporation, Beijing, China June 2014- July 2014

§ Conducted RNC-NODEB testing for TD-SCDMA and WCDMA

§ Went through the training on VLAN configuration

PROJECTS

Image Recognition Web App https://keraspredion.appspot.com May – July 2017

§ Implemented image recognition service on Google Compute Engine with Keras InceptionV3 image recognition model encased using Docker, Python, Nginx, Supervisor, Gunicorn.

§ Implemented database service on Google Firebase with public access to store image and JSON data.

§ Implemented web service on Google App Engine using Python (Flask), JSON, HTML, CSS, Javascript and Bootstrap Real-time Image Style Transform Web App https://realtimestyletrans.appspot.com Mar. – July 2017

§ Implemented a style transformation service on Google Compute Engine with pre-trained convolutional neural network model encased using Docker, Python, Nginx, Supervisor, Gunicorn.

§ Implemented web service on Google App Engine using Python (Flask), JSON, HTML, CSS, Javascript and Bootstrap Udacity Self-driving Car Nanodegree Projects https://github.com/Liuqian0501 Feb. – May 2017

§ Implemented an advanced lane-finding algorithm using computer vision techniques and OpenCV-python.

§ Built a CNN model to classify German traffic signs using TensorFlow and achieved 98.8% accuracy. Netflix Movie Recommendation System https://github.com/Liuqian0501/hadoop-linux Nov. –Dec.2016

§ Extracted 30000 users' movie ratings from Netflix raw data with Pig.

§ Implemented a collaborative filtering algorithm using Hadoop on Amazon EMR to predict movie ratings.

§ Achieved a high accuracy and ranked 5th of 83 teams in final competition. Artificial Intelligence for Pacman game https://github.com/Liuqian0501/pacman Sep. -Dec.2015

§ Implemented DFS, BFS, A* search, Minimax with Alpha-Beta pruning to build an adversarial search agent in Python

§ Implemented probabilistic inference, particle filter algorithm in hidden Markov Model and Q-learning to build an agent.

§ Finished the project without a teammate and outperformed 90% of other teams in final competition.

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