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Gleb Kuznetsov

Gleb Kuznetsov

Boston, MA, United States
Member since January 9, 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
  • Linux, 8 years
  • Python, 7 years
  • JavaScript, 4 years
  • Django, 4 years
  • Machine Learning, 3 years
  • Backbone.js, 3 years
  • PostgreSQL, 2 years
  • Amazon Web Services (AWS), 1 year
Boston, MA, United States
Preferred Environment
Ubuntu, Sublime, Git
The most amazing...
...thing I've coded is a web application to connect notes and links in a way that mirrors one's brain.
  • 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: Python, Django, AWS, Bioinformatics
  • Software Engineer
    2011 - 2012
    • 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: Java, JavaScript, Python, Guice, Protocol Buffers
  • 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: Python, Django, Machine Learning
  • Software Engineering Intern
    2010 - 2010
    • 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: Google App Engine, Heroku
  • Millstone: Automated Genome Design and Analysis (Development)

    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.

  • Languages
    Python, JavaScript, Java, Clojure
  • Frameworks
    Django, Machine Learning
  • Libraries/APIs
    Backbone.js, Underscore.js, jQuery
  • Platforms
    Linux, AWS EC2, Amazon Web Services (AWS)
  • Storage
    Elasticsearch, PostgreSQL
  • 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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