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

Verified Expert  in Engineering

Machine Learning Developer

Location
Boston, MA, United States
Toptal 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.

Portfolio

Harvard Medical School
Amazon Web Services (AWS), Bioinformatics, Django, Python
Google
Protocol Buffers, Guice, Python, JavaScript, Java
MIT EECS 6.034 AI
Machine Learning, Django, Python

Experience

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.

Work Experience

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

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.

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

2014 - 2019

PhD Degree in Biophysics

Harvard - Cambridge, MA

2010 - 2011

M.Eng Degree in Electrical Engineering and Computer Science

MIT - Cambridge

2006 - 2010

BS Degree in Electrical Engineering and Computer Science

MIT - Cambridge

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