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Stephen Resume


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Stephen Resume

  1. 1. HE (Stephen) DAI 2001-909 Bay St, Toronto, ON Cell: +1 (647) 9756111 Education Expected Dec 2016 Master of Applied Science and Engineering, University of Toronto. Field of Study: Computer Engineering Technical Skills Languages Core Java, Python, C, C++, SQL, JavaScript, HTML/CSS, JQuery, Bash, Verilog Tools AWS, MongoDB, Eclipse, Android Studio, GitHub, UNIX, Matlab, VLSI CAD tools Courses Algorithms & Data Structure; Parallel Programming; Mobile App Development; Computer Networks; Advanced Storage Systems; Distributed System; Database Professional Experience Summer 2015 Full Stack Developer, U of T Connected Vehicles & Smart Transportations Team o Designed and developed a real-time road traffic data intelligence web App with a group of developers o Back-end: developed robust data parsers in Python and Java to collect traffic data from various sources (including TTC, Bixi, Twitter and etc.) and persist in MongoDB and MySQL data warehouse o Front-end: built a Google Maps Web-App in JavaScript and Google API to display real-time traffic data positions and analytic graphs to users o Wrote detailed design documentations, project reports and API documents o Managed code development work flow and pull request with Git 2013 – 2014 System Validation Engineer, Advanced Micro Devices. o Conducted cutting edge semi-custom products (APU/GPU) performance validation projects using Oscilloscopes, Protocol Analyzer, AutoCAD and etc. o Developed Oscilloscopes Automation Applications to perform validation process and increased the work efficiency by 60%, accuracy rate by 70% o Performed system test on company major products, collaborated with global colleagues to debug and fix issues to ensure the company provides the best products Academic Experience U of T 2016 Designer and Developer, Russian lyrics to IPA transcription Android App o Designed an Android App that transcribes Russian lyrics to IPA (International Phonetic Alphabet) with a partner to help Opera Singers learn the Russian pronunciation o Designed a transcription algorithm in Java with high 80% accuracy rate o Created various features such as data storage, IPA editing, voice spectrum and etc. U of T 2015 Designer and Developer, Commercial degree EEG headset application o Designed an Android App that analyze users’ brainwave signals collected from commercial EEG headset and display the results on an intuitive user interface o Established reliable Bluetooth communication protocols between EEG headset and mobile devices in Java o Implemented Machine Learning Algorithm (K-Means) to classify raw data and map to emotions.