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Siddharth Sandip Shah

Majored in Computer Science
Georgia Institute of Technology, Class of 2016
From Mumbai, Maharashtra
I'm a Master of Computer Science from Georgia Tech with an interest in Machine Learning (especially Deep Learning), Data Analytics and Cloud Computing. I have a strong programming background and experience in Machine Learning techniques, Object oriented languages like C++, Java and Python, AWS, Android application development, and MATLAB. I have a varied experience that demonstrates my willingness to learn new things and adapt quickly to new environment. I am passionate about developing software that has the potential to impact a large number of users and continually seek new challenges to do so.
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Siddharth Sandip Shah Receives Degree from Georgia Tech

Siddharth Sandip Shah of Mumbai, India, has earned a Master of Science in Computer Science from the Georgia Institute of Technology in Atlanta. Shah was among approximately 3,200 undergraduate and...

January, 30 2017 - Verified by Georgia Institute of Technology
India Club at Georgia Tech (India Club)
Georgia Institute of Technology
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Student Alumni Association (SAA)
Georgia Institute of Technology
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Software Development Engineer Intern at Amazon
• Developed a Simple Notification Service (SNS) based push event notification framework that will push notifications when an item is created or updated in directories - which is a platform for dynamic, structured content for AWS Marketing • Added unit testing and integration testing and pushed code to production • Designed search indexes for search on AWS website and an architecture for their on-demand update using various AWS services as a proof of concept. This improves upon the once in a day batch upload of documents to update search indexes
May 2016 - August 2016
Student Trainee at Samsung
• Added effects to decoded video frame output in real time for a Digital Television (DTV) platform based on Linux • Programmed image filters like Gaussian Blur, Sobel Edge Detection using OpenCL C Language • Rendered original and new video frames simultaneously on an HDTV using EGL with a frame rate of close to 60 fps • Concluded that OpenCL resulted in an improvement of 3 to 5 fps as compared to existing OpenGL implementation
May 2014 - July 2014

Graduation

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