Girish Malkarnenkar, Software Developer @ Microsoft
I have been working as a Software Developer in the Data & Analytics team (part of Operating Systems Group) at Microsoft since June 2013. I graduated from UT Austin with a Master's in Computer Science in the spring of 2013. During the second year of my Masters, I worked as a Graduate Research Assistant with Prof. Raymond Mooney in the Machine Learning Research Group, where I got the opportunity to work with researchers from UC Berkeley and MIT on a cool DARPA funded project (http://en.wikipedia.org/wiki/Mind's_Eye_(US_Military))! During the course of that one year, we came up with state of the art techniques for mining web scale textual corpora for automatically generating natural language descriptions for videos, which we published in AAAI 2013, NAACL HLT 2013 and ICCV 2013.
During my first year at UT Austin, I worked as a Graduate Research Assistant in the Visualization group of the Texas Advanced Computing Center (TACC) where I worked on creating visualizations on one of the world's highest resolution displays! In between, during the summer of 2012, I interned at Oblong Industries, an MIT media labs spin-off, in the Computer Vision R&D team where I worked on creating gesture recognition systems with the same folks who created the amazing UI in Minority report!
Before joining UT Austin, I worked for 1 year as a Software Developer (Member Technical Staff) in Oracle India Private Limited (Server Technologies), Bangalore. I received a Bachelors (Honors) degree in Computer Science from Birla Institute of Technology and Science, Pilani in August, 2010. During the 4 years of my undergrad life, I have had the opportunity to interact with some of the best minds from various parts of India. I was chosen for a research internship at Technischen Universität Berlin in Germany under a fellowship sponsored by DAAD, the German Academic Exchange Service. I also interned in D-Link India and at INSEAD Business School, Fontainebleau in France.
Applications of machine learning (especially in the areas of Natural Language Processing and Computer Vision), mining large data for insights and data visualizations