Gleb Kuznetsov

Boston, 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.

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Portfolio

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

Experience

Python, 7 years
JavaScript, 4 years
Django, 4 years
Backbone.js, 3 years
Linux, 8 years
Amazon Web Services (AWS), 1 year
PostgreSQL, 2 years
Machine Learning, 3 years

Availability

Part-time

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.

Employment

Software and Automation Engineer
Harvard Medical School
2012 - PRESENT
- 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
Google
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
MIT EECS 6.034 AI
2010 - 2010
- 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
Eversitas
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

Experience

Millstone: Automated Genome Design and Analysis (Development)
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

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

Education

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

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