I'm a software engineer in the infrastructure team of Tumblr where I work on various aspects of systems from datacenters to provisioning machines on the fleet. So far, some of issues that I have been involved with are writing programs to automate fleet deployment and rolling out continuous updates Previously, I was a software engineer here at Amazon. Working mainly on a large scale distributed services (to process bank transactions and remittances), I got to learn a lot about large scale software engineering, code design and operations in general and service and messaging frameworks in specific. I also interned in Food52, a food startup in New York where I worked on aspects like Cohort Analysis to do some data mining. In addition, wrangling with Ruby on Rails, Knockout.js and Bootstrap, I worked on a dashboard to manage the account and keep track of disbursements. I also briefly worked on the frontend and did some response driven development using Bootstrap and KnockoutJS. Earlier I was an MS student where I dabbled in a bit of Computer Vision and Natural Language Processing. I'm interested in Machine Learning but I don't have any industry experience in it. In the past I have also worked on Computer Graphics and High Performance Computing. I have mostly worked on fine grained parallel systems like GPU, CUDA but I'm also familiar with coarse grained parallel architectures like GAE. My work was published in a conference and also a journal article. Please look at my projects in github - https://github.com/sushruta to get a better idea of some of my projects.

Software Engineer, Infrastructure @ From May 2015 to Present (6 months) Greater New York City Area

Master of Science (MS), Computer Science @ Rutgers, The State University of New Jersey-New Brunswick From 2011 to 2013 MS, Computer Science @ IIIT-Hyderabad From 2009 to 2011 B.Tech, Computer Science @ IIIT-Hyderabad From 2005 to 2009 Master's degree, Computer Science @ International Institute of Information Technology From 2005 to 2009 Sashidhar Guntury is skilled in: CUDA, GPU, Ray Tracing, Machine Learning, Computer Science, OpenGL, NLP, Computer Vision, C++, Python, Graphics, SQL, C, Java, XML, linux system programming, Unix, Linux, NoSQL, JavaScript, Haskell, LaTeX, Algorithms