Intro

Hi there, I am Edwin Chan, a Sophomore currently studying Computer Engineering and Computer Science at University of Southern California.

I enjoy learning different new technologies and making use of them.

Education

  • University of Southern California - Computer Engineering and Computer Science (Class of 2020)
    GPA:
    - 3.86 (Cumulative)
    - 3.92 (Spring 2017)
    - 4.00 (Fall 2017)

  • Member of Golden Key International Honour Society

  • Member of Makers at USC, an Electrical Engineering Club

Language

  • Fluent in English, Cantonese and Putonghua

  • Studied Japanese for two years from S1-S3 (中学校一年から中学校三年まで 日本語を勉強し ました)

  • Member of Japanese Exchange Student Support(JESS) at USC
    - A club which helps and hosts Japanese Exchange Students at USC to make them feel like part of the Trojan Family. We answer questions they might have, host cultural exchange events and conversations to help them improve their English skills.

  • Can perform daily conversations (日常会話は 大丈夫です)

Work

I am a developer and hackathon enthusiast. I enjoy working with different people, and love to try out different technologies. I have built applications in different languages. For my projects, you can see them on Github, and on DevPost.

Internships

  • Mentor for Front-end development at AthenaHacks 2017

  • Digital and Signal Processing Laboratory, Faculty of Electronic Engineering, Chinese University of Hong Kong (Summer, 2014)
    - Single-handedly wrote code and designed graphic user-interface of a voice-recognition deviceintended for the deaf and mute (Written in Python and ran the program on a Raspberry Pi)

  • Shun Hing Technology Co. Ltd (Hong Kong, 1 week, 2014)

Conferences

  • Group Leader, International Student Science Conference, The Hutchins School, Hobart, Tasmania, Australia (28 Sept - 5 Oct 2013)

  • Group Leader, International Student Science Conference, Hong Kong (2 - 8 July 2012)

  • Group Leader , Study Trip to Nansha, China (2012)

  • Group Leader, Cultural Trip to Beijing (21 - 25 Nov 2011)

Awards

  • Best Use of Amazon Web Services(ViHack) – YHack 2017
    - A React-native application using machine learning to suggest which insurance plan should consumers buy based on their demographics. We also performed data visualization on the provided data set of 1.428 million users to figure out relationships between different variables.

  • Scholarship for outstanding performance in Rite of Passage (RoP) Programme 2013
    - RoP is a 28-day adventure in Queensland involving expeditions, rock-climbing and abseiling

  • First Place, Junior Secondary Division, HK Youth Science & Technology Innovation Competition 2013

  • Team Leader, Award for the Most Outstanding 11th Grade Exhibit of the Yale Science & Engineering Association, Intel International Science and Engineering Fair – HK Nomination 2013

  • Team Leader, Honorable Mention, Junior Section, HK Student Science Project Competition 2013

  • Team Leader, 2nd Runner-up and Best Presentation Award, Junior Section, HK Student Science Project Competition 2012

  • Member, 1st Runner Up, Most Creative Proposal Award, HK Budding Scientists Award 2011/12

Experience

Programming Languages:

  • C++
  • Java
  • Python
  • Verilog
  • HTML & CSS
  • JavaScript

Technologies:

  • Embedded Systems on Arduino
  • Object-Oriented programming and Full-Stack Development
  • React-Native & Expo
  • Google-Map & Google Places API

Projects

Rides

Rides is an Alexa Skill which simplifies the entire process of fare estimation and time estimation to go from place to place with a single voice command! Just by saying "Alexa, ask Smart Rides, from {a} to {b} Uber or Lyft?", you can get the estimation from both companies, which streamlines the entire approach, without the need to fumble your apps in your phone to get the two individual quotes from respective mobile apps!

At the same time, Rides also offer convenience in knowing about the time estimation from one place to another. By just saying "Alexa, ask Smart Rides, how long does it take to go from {a} to {b}?" , it returns you the estimate of driving time, and also public transport(if it could be routed).

Try it out now Live at Amazon Alexa Skill market!

ViHack

ViHack is a React-native application using machine learning to suggest which insurance plan should consumers buy based on their demographics. We also performed data visualization on the provided data set of 1.428 million users to figure out relationships between different variables. It is built during YHack2017 and won the Best Use of Amazon Web Services award.

More Details can be viewed on DevPost.

Sleeping Mask (Side Project at Makers at USC)

The sleep mask project was built during my freshman year. We built a sleeping mask to enhance sleeping experience by waking users at the optimal time in the sleeping cycle, using Adafruit Flora.