Miroslav Shubernetskiy
New York City, United States
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CodersRank Rank
Top 1%
Based on:
Stackoverflow 315 events
Top 1
United States
Top 5
United States
Top 50
United States
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
Apr 2019 - Mar 2022 (2 years 11 months)
Rawdon, United Kingdom
Staff Software Engineer
At GameChanger, I am part of the Platform Team. Our mission is to enable GameChanger engineers to deliver great products on a secure, stable and scalable platform. To accomplish that, we are responsible for our infrastructure which we both maintain and improve over time. In addition we also collaborate with the rest of the company to solve internal company needs such as projects overarching all engineers as well as internal tooling to allow everyone to be more productive.
aws typescript terraform
Feb 2014 - Apr 2019 (5 years 2 months)
New Hyde Park, United States
Senior Software Engineer
At Dealertrack, I worked within an awesome team called Djangsters to develop and maintain our backend systems. As the Djangsters name might suggest, we were fans of Django web framework however we also enjoyed working with many other Python tools and libraries such as SQLAlchemy. Finally we also strongly believed in code-simplicity, tests, automation, ping-pong and foosball!
python Django sqlalchemy
Memorial Sloan Kettering Cancer Center
6 months
New York, United States
Summer Intern
Jun 2013 - Aug 2013 (2 months)
Developed a Python wrapper library PySAASS for Semi-Automatic Augmented Statistical Segmentation (SAASS) which is a C++ library which allowed to follow a semi-automatic workflow to segment a series of images. Since the segmentation algorithm is computationally expensive, in order to optimize its speed the library was written in C++ however that made its API not very intuitive and tedious to work with. Python wrapper solved this since it allowed for much simpler user-interface which in turn allowed to test the library in different environments much faster which was beneficial in a research environment.
python image processing c++
Summer Intern
Jun 2012 - Aug 2012 (2 months)
Worked on developing a script for making probability distribution cloud of where anatomical structures are likely to be located within a human body. This cloud, when combined with various segmentation methods (e.g. SAASS), can result in improved segmentation accuracy as well as better performance since the cloud is derived from previously segmented structures segmented by medical staff.
python dicom image processing
Summer Intern
Jun 2011 - Aug 2011 (2 months)
Developed web application/interface for a system that allows medical professionals to digitally segment physical structures (organs) used in cancer treatment - Semi-Automatic Augmented Statistical Segmentation (SAASS). It was a full-stack development, which included the back-end design as well as the user-interface. The back-end was done primarily in Python using Django web-development-framework and the front-end was developed using HTML5, CSS3, and JS.
Django dicom javascript

This section lets you add any degrees or diplomas you have earned.
CUNY - City College of New York
Bachelor, Computer Science
Sep 2008 - May 2013
New York University
Masters, Cybersecurity
Sep 2019 - Present

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