Gleb Kuznetsov, Machine Learning Developer in Boston, MA, United States
Gleb Kuznetsov

Machine Learning Developer in Boston, MA, United States

Member since May 31, 2014
Gleb is a software engineer with experience in front and back-end web development and scientific computing. He works extensively in machine learning and bioinformatics. He has a BS and MEng in EECS from MIT, and worked at Google from 2011-2012. He is now starting a PhD in Biophysics at Harvard.
Gleb is now available for hire

Portfolio

Experience

Location

Boston, MA, United States

Availability

Part-time

Preferred Environment

Git, Sublime Text, Ubuntu

The most amazing...

...thing I've coded is a web application to connect notes and links in a way that mirrors one's brain.

Employment

  • Software and Automation Engineer

    2012 - PRESENT
    Harvard Medical School
    • Automated genome sequencing analysis.
    • Wrote a Python library for redesigning genomes.
    • Deployed software to Amazon AWS.
    • Created web applications using Django.
    • Developed various bioinformatics tools.
    Technologies: Amazon Web Services (AWS), Bioinformatics, Django, Python
  • Software Engineer

    2011 - 2012
    Google
    • Created a front-end and back-end on Google+.
    • Implemented a search front-end.
    • Worked on a circles user interface.
    • Implemented an extensive test driven development experiment.
    • Designed and implemented a stubby (RPC) service for Google+ communities.
    Technologies: Protocol Buffers, Guice, Python, JavaScript, Java
  • TA

    2010 - 2010
    MIT EECS 6.034 AI
    • Taught introductory artificial intelligence techniques.
    • Wrote and maintained an automated grading server.
    • Developed games.
    • Handled propagation of constraints.
    • Worked with SVMs.
    Technologies: Machine Learning, Django, Python
  • Software Engineering Intern

    2010 - 2010
    Eversitas
    • Prototyped a web application for exploring RSS streams.
    • Handled front-end work in JavaScript.
    • Coded the back-end in Java.
    • Deployed to Heroku and Google App Engine.
    • Explored applications of machine learning.
    Technologies: Heroku, Google App Engine

Experience

  • Millstone: Automated Genome Design and Analysis
    http://churchlab.github.io/millstone

    Millstone is a distributed bioinformatics software platform designed to facilitate genome engineering for synthetic biology. It automates the iterative design, analysis, and debugging for projects involving hundreds of microbial genomes.

Skills

  • Other

    Software Development, Protocol Buffers, Machine Learning
  • Languages

    JavaScript, Python, Java, Clojure
  • Frameworks

    Django, Guice
  • Libraries/APIs

    Backbone.js, jQuery, Underscore.js
  • Tools

    Sublime Text, Git
  • Platforms

    Ubuntu, Google App Engine, Heroku, Linux, Amazon EC2, Amazon Web Services (AWS)
  • Industry Expertise

    Bioinformatics
  • Storage

    Elasticsearch, PostgreSQL

Education

  • PhD Degree in Biophysics
    2014 - 2019
    Harvard - Cambridge, MA
  • M.Eng Degree in Electrical Engineering and Computer Science
    2010 - 2011
    MIT - Cambridge
  • BS Degree in Electrical Engineering and Computer Science
    2006 - 2010
    MIT - Cambridge

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