Michael Gu Resume LaTex (PDF)




File information


This PDF 1.5 document has been generated by LaTeX with hyperref package / XeTeX 0.99996, and has been sent on pdf-archive.com on 24/07/2017 at 06:00, from IP address 98.234.x.x. The current document download page has been viewed 501 times.
File size: 46.51 KB (1 page).
Privacy: public file




Document preview - Michael_Gu_Resume_LaTex.pdf - Page 1/1





File preview


Michael Gu

PRODUCT · NLP · ENGINEERING
177 Firefly Drive, Wallace, North Carolina 28466
 (+1)(314)805-6244

|

 michaelgu@gmail.com

|

 www.michaelgu.ninja

|

 github.com/michaelgu95

Education
University of North Carolina at Chapel Hill

Chapel Hill, North Carolina

MASTERS OF SCIENCE IN COMPUTER SCIENCE, MACHINE LEARNING FOCUS

August 2014 - December 2018

• Coursework: Natural Language Processing, Exploring Virtual Worlds, Algorithms & Analysis, Internet Services & Protocols, Digital Logic
• Awards: Phi Beta Kappa, Bryan Social Innovation Fellow, TEDxUNC Student Speaker, Perfect SAT (2400)

Experience
Data Science Intern @ PayPal

San Jose, California

TECHNOLOGIES: KERAS + TENSORFLOW, SCIKIT-LEARN, REACT, NODE.JS, VARIOUS NOSQL DATASTORES

May 2017 - Present

• Infrastructure: Implemented machine learning pipeline that 1) predicts adaptations within global content editor 2) stores content
designer feedback in NoSQL DB and 3) automates retraining of classifier for predicting future adaptations
• Product: Establish timeline for system deliverables, draft user stories, give presentations and demos to key stakeholders (Content,
G11N, and L10N managers/directors)

Software Engineering Intern @ Massdrop

San Francisco, California

TECHNOLOGIES: NODE.JS, REACT, FLUXIBLE, REDIS, MYSQL, JENKINS, AWS






May 2016 - August 2016

Optimized product sorting algorithm within personalization pipeline, increasing product click-through by 6%
Designed A/B tests for millions of active users, automated using Jenkins and deployed on Amazon AWS
Built API for comments and replies system, incorporated into product discussion threads
Assisted in codebase cleanups including fixing race conditions and inefficiencies in redis caching

Teaching Assistant @ UNC Dept. Computer Science

Chapel Hill, North Carolina

TECHNOLOGIES: HTML/CSS/JAVASCRIPT

January 2016 - May 2016

• Led discussions, hosted office hours, and graded assignments for COMP 101

Projects
HoloLens - Math Expression Detection and Graphing
TECHNOLOGIES: UNITY, C#, VISUAL STUDIO, LATEX, MATHPIX

• Built Augmented Reality app that allows for 3D graphing of math expressions written on a whiteboard — final project for Exploring
Virtual Worlds w/ Henry Fuchs
• Utilized voice-initiated image capture, detection of expression via Mathpix API integration, and dynamic Unity mesh generation for
visual representation
• Link: github.com/michaelgu95/HoloLensRecognition

Swap, Drop, Enroll
TECHNOLOGIES: PYTHON + FLASK, SENDGRID, CAPYBARA WEBDRIVER, MYSQL

• Course enrollment utility that automates the process of enrolling students in a desired class once a spot opens
• Produced webhook by scraping UNC course registration website, distributing the open spot to winning student via lottery system
(user’s weight is determined by number of user referrals to the service)
• 215 successful enrollments @ 98% success rate for Fall 2016
• Integrated system into Office of Registrar through collaboration with UNC Vice Chancellor of Technology

Zlto.co
TECHNOLOGIES: PYTHON + DJANGO, REACT, REDUX, AWS

• Revamped backend infrastructure for Zlto.co, a mobile wallet that enables youth in South Africa to build their communities
• Rewards positive outreach activities with Zlato virtual currency, which can then be spent on food, clothing, and cellular data
• Secured funding from Mastercard Foundation

Technical Skills
Fluent
• Python, JavaScript, Java, Bash, PHP, HTML5, CSS, MySQL, NoSQL, GraphQL

Proficient
• Go, C#, Objective-C, C, MIPS Assembly

Testing Frameworks
• Jest, Enzyme, Chai, Protractor, JUnit






Download Michael Gu Resume LaTex



Michael_Gu_Resume_LaTex.pdf (PDF, 46.51 KB)


Download PDF







Share this file on social networks



     





Link to this page



Permanent link

Use the permanent link to the download page to share your document on Facebook, Twitter, LinkedIn, or directly with a contact by e-Mail, Messenger, Whatsapp, Line..




Short link

Use the short link to share your document on Twitter or by text message (SMS)




HTML Code

Copy the following HTML code to share your document on a Website or Blog




QR Code to this page


QR Code link to PDF file Michael_Gu_Resume_LaTex.pdf






This file has been shared publicly by a user of PDF Archive.
Document ID: 0000627806.
Report illicit content