1. Wilson Hsueh-Chao Wu
Monterey Park, CA
(917) 328-5006 | xuechaow.job@gmail.com
https://www.linkedin.com/in/xuechaow | https://github.com/xuechaow/
EXPERIENCE
Insight Data Science Data Engineer Fellow Palo Alto, CA May 2016 – Sep 2016
 Developed a full-stack live-dashboard which A/B tests and benchmarks serialization tools including
Protocol Buffer, Apache Avro and Thrift. Implemented data pipeline, API and real-time visualization
 Ingested data with Apache Kafka, processed real-time data with Apache Spark Streaming, and feed to a
real-time webpage on AWS using 10 m4.xlarge EC2 instances
 Developed RESTful API with Flask in python, data visualization with D3.js and Highcharts.js
EDUCATION
University of Southern California Los Angeles, CA Exp. Dec 2016
Master of Science, Electrical Engineering (Data Science and Engineering) CS/EE GPA 3.92/3.70 of 4.00
Queen Mary University of London London, UK Sep 2010 - Jun 2014
Bachelor of Engineering, Electrical Engineering (Multimedia Telecommunications) GPA 3.51 of 4.00
TECHNICAL STACK
Frameworks and Tools: Expert in Java/Python, Proficient in C/C++; Exp in Spark/Kafka, AWS, etc.
Core Curriculums: Operating Systems, Data Structure and Algorithms, Artificial Intelligence, Machine
Learning, Pattern Recognition, Computer Vision, Game Development, Linear Algebra and Probabilities
INDIVIDUAL PROJECTS
Integrated Artificial Intelligence Agent (Java) Fall 2016
 Explored and implemented an AI agent able to perform partial human reasoning and feedback
 Performed full FO-Logic resolution inference with binary expression tree parser and CNF converter
 Performed strategy gameplay agent with depth-limited Alpha-Beta pruning with heuristic function
 Implemented path finding function with UCS and A* Searching
Moreddit Subreddit Recommendation Engine (Java, Python, Elasticsearch) Fall 2016
 Administered an AWS server to recommend potential liked subreddit based on user’s reddit profile
 Retrieved and integrated user information with JRAW and reddit API and fed to Elasticsearch
 Developed a preference model based on user’s upvotes, subscriptions and publishing history
 Implemented recommendation algorithm with reddit preference model and Content-based filtering
 Developed an Android app as mobile alternative front-end in Java. Unit tested with junit
Image Recognition System (Python, OpenCV) Spring 2016
 Built a 2-D Object Recognition System with image-based object recognition and learning functionalities
 Performed PCA-SIFT feature extraction, K-mean clustering and KNN-based recognition
 Accelerated recognition engine with feature hashing using a-hash. Conducted supervised learning with
cross validated training and ADA-Boosted regression models.
Weenix OS Kernel Development (Linux C, bash and GDB) Spring 2015
 Programmed weenix system’s kernel, a Unix-Like OS, in Ubuntu 12.04
 Analyzed booting process, constructed shell and implemented multi-thread/process management
 Engineered Virtual File System and Virtual Memory Manage System and debugged the system with GDB
 Conducted version control through GitHub, auto-configuration/deployment through makefiles
Distributed Data De-Duplication Storage System (Java) Fall 2014
 Explored a distributed data de-duplication theory on Server-Client scheme and implemented a prototype
 Implemented CDC chunking with 2-level (Memory, Hard Disk) index hash table storage
 Designed application layer de-duplication data transmission protocol upon TCP/IP Socket
Communication