Andrew King

Andrew King

A BIT ABOUT ME

>I am Andrew King

I am a machine learning and computer vision engineer currently completing a master’s degree in Artificial Intelligence at the University of Georgia. My research as a master’s student focuses on deep learning models for semantic segmentation. I am the author of Deep Segments, Scopi, and a number of other computer vision based applications. I completed an undergraduate degree with majors in both computer science and business management at Southern Virginia University.

LATEST GITHUB ACTIVITY

@andrewcking
andrewcking pushed to master in andrewcking/deep-segments
Feb 13, 2018
@andrewcking
andrewcking pushed to master in andrewcking/deep-segments
Jan 31, 2018

FIELDS OF STUDY

ARTIFICIAL INTELLIGENCE

I am currently completing a master’s degree in Artificial Intelligence at the University of Georgia. My master’s thesis explores fully convolutional deep learning architectures for semantic segmentation of stereo image data. I have experience with a wide variety of machine learning and computer vision libraries.

COMPUTER SCIENCE

I completed a major in computer science as part of my undergraduate degree at Southern Virginia University. I maintained a computer science major GPA of 4.0 and served as the president and founder of the Southern Virginia University Robotics Club and as the chair of the ACM student chapter.

BUSINESS MANAGEMENT

My second major field of study as part of my undergrad was business management and leadership. I have taken courses in statistics, economics, and strategic management and have gained work experience at a number of small companies.

OTHER INTERESTS

MUSIC

I am a classically-trained singer and have performed in a variety of productions including with the Port Angeles Light Opera and the Roanoke Symphony Orchestra. I completed 33 university-level credits in music.

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EDUCATION HISTORY

2018
University Of Georgia – 3.93 GPA

Artificial Intelligence – M.S.

Completing a master’s degree in Artificial Intelligence. Thesis explores fully convolutional deep learning architectures for semantic segmentation of stereo image data. Completed coursework on a variety of topics including scalable machine learning, computer vision, deep learning, and biomedical image analysis. Will graduate in spring of 2018.

2016
Southern Virginia University – 3.87

Computer Science, Business Management – B.A.

Completed a bachelor’s degree with majors in both computer science and business management. Graduated with 162 credits in June 2016. Maintained a computer science major GPA of 4.0. Served as president and founder of the Southern Virginia University Robotics Club and as the chair of the Southern Virginia University ACM student chapter.

2013
University of Virginia – 4.0 GPA

Modern Hebrew

Completed 12 credits at the University of Virginia, studying Modern Hebrew in the Summer Language Institute intensive language program and received perfect marks.

WORK HISTORY

2017
Deep Learning Research Assistant

University of Georgia – Visual and Parallel Computing Laboratory

2017-Present
  • Conducting research as student lead on a deep learning project in conjunction with the Department of Marine Sciences. Exploring fully convolutional semantic segmentation architectures using underwater survey images from the Florida Keys for the purpose of mapping and tracking the coral reef.
  • Research led to a top-1 classification accuracy of 88%, outperforming all previous models for this task.
  • 2017
    Computer Vision and Machine Learning Intern

    Brew Counts

  • Developed in-lab yeast analysis computer vision software to automatically determine and track yeast health metrics.
  • Organized ground truth data collection and achieved 97% cell count accuracy and 95% health classification accuracy.
  • 2016
    Lead Programmer

    University of Georgia – Virtual Environments Laboratory

    2016-Present
  • Using Unity and computer vision techniques such as photogrammetry to develop virtual environments for research projects in medicine, advertising, and psychology.
  • 2016
    Lead Web Developer

    Southern Virginia University

    2013-2016
  • Developed a new, fully-responsive website for Southern Virginia University in an open-source content management system. Managed the design and implementation of the site, substantially decreasing development costs and saving the university thousands in yearly licensing and maintenance fees.
  • Mobile traffic increased from 29% to over 50% within six months after the launch of the new responsive site, a sign of a strong user experience for mobile users.
  • Assisted in growing a robust intern program, managing and training new web development interns to sustain in-house development.
  • 2013
    Communications Assistant

    Southern Virginia University

    2012-2013
  • Managed all content on the Southern Virginia University website and made regular changes to keep the site up to date.
  • 2011
    Apple Product Professional

    CityMac Apple Store

    2011
  • Conducted hardware and software repairs on Apple products as a technician and support professional.
  • 2011
    Assistant to the Office Manager

    Sawtooth Software

    2005-2007, 2010-2011
  • Worked as a receptionist, directing phone calls, answering questions, filing invoices, and performing other customer-service related tasks.
  •  

    DOWNLOAD MY RESUME

    You can download my resume in pdf format. I currently work for University of Georgia.

    DOWNLOAD RESUME

    FIND ME ON GITHUB

    MY Github PROFILE

    DEVELOPMENT PROFICIENCIES

    Python – Experienced

    Java – Experienced

    C# – Experienced

    C++ – Proficient

    HTML5/CSS3/Javascript – Experienced

    PHP – Proficient

    Keras – Proficient

    Apache Spark – Beginner

    SciKit-learn – Proficient

    SciKit-image – Experienced

    OpenCV – Experienced

    Weka – Experienced

    PROJECT PORTFOLIO HIGHLIGHTS

    Deep Segments

    A tool for generating ground truth images for use in deep learning semantic segmentation models. It provides a simple and fast method for researchers by leveraging unsupervised clustering of an oversegmented image.

    Scopi

    a stereoscopic camera application for Android. With it, users take two perspective-offset photos that are automatically registered (aligned), cropped, and stitched using OpenCV (C++ interface) to create a stereoscopic photograph.

    OTHER INTERESTS

    Music

    Classically-trained singer who has performed in a variety of productions including with the Port Angeles Light Opera and the Roanoke Symphony Orchestra. Completed 33 university-level credits in music.

    MY WORKS

    Scopi – A Stereoscopic Photo App

    Scopi – A Stereoscopic Photo App

    Deep Segments – For Deep Learning Segmentation

    Deep Segments – For Deep Learning Segmentation

    Fully Convolutional Neural Network – Keras

    Fully Convolutional Neural Network – Keras

    Brew Counts – Automatic Cell Counting

    Brew Counts – Automatic Cell Counting

    Music Genre Classifying Neural Network

    Music Genre Classifying Neural Network

    Neuroevolution: A Solution to Necessary Abstraction

    Neuroevolution: A Solution to Necessary Abstraction

    Using NEAT to Predict Solar Radiation

    Using NEAT to Predict Solar Radiation

    Website for Southern Virginia University

    Website for Southern Virginia University

    Chivalry – An Android Game

    Chivalry – An Android Game

    Eight Puzzle Solver

    Eight Puzzle Solver

    Solitaire Clone

    Solitaire Clone

    Prime – A friendly locomotive

    Prime – A friendly locomotive

    Address Book

    Address Book

    C++ microshell

    C++ microshell

    Southern Virginia University Calendar

    Southern Virginia University Calendar

    Dining Philosophers Deadlock Solution

    Dining Philosophers Deadlock Solution

    H1 Assembly String Library

    H1 Assembly String Library

    Assembly Bubble Sort

    Assembly Bubble Sort

    Coffee Paint

    Coffee Paint

    The Smoky God

    The Smoky God

    Foxcat Adventure

    Foxcat Adventure

    Faure Requiem – Libera Me

    Faure Requiem – Libera Me

    Breakout Clone

    Breakout Clone

    Music – Faraway Place (Original Album)

    Music – Faraway Place (Original Album)

    Music – If Ever I Would Leave You

    Music – If Ever I Would Leave You

    LET’S GET IN TOUCH

    LET’S SOCIALIZE

    LOCATION