HE (Stephen) DAI
2001-909 Bay St, Toronto, ON
Cell: +1 (647) 9756111
Master of Applied Science and Engineering, University of Toronto.
Field of Study: Computer Engineering
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
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
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
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
U of T
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
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.