Viraj Prabhu

I am a first year Masters Student majoring in Computer Science at Georgia Tech, advised by Prof. Dhruv Batra and Prof. Devi Parikh.

Prior to grad school, I spent a year as a research assistant in the Machine Learning and Perception lab at Virginia Tech, working on applying deep learning approaches to Visual Question Answering. Previously, I worked as a software developer at Adobe Systems India on Adobe Captivate Prime, a newly-launched SAAS-based Learning Management System for enterprise.

I received my Bachelor's in Computer Science from BITS Pilani in July 2015. Over the course of my undergraduate studies, I was fortunate to be introduced to computer vision via research internships at Adobe and Tonbo Imaging that I greatly enjoyed. For a detailed list, please take a look at my CV.

I am an open-source contributor to CloudCV and served as a mentor for Google Summer of Code twice in '16 and '17 for the Fabrik project. I also occasionally dabble in writing, playing the guitar, and distance running.


Research Scholar, Machine Learning and Perception Lab, Fall 2016 - Present

Advisors: Prof. Dhruv Batra and Prof. Devi Parikh

Working on deep learning approaches to Visual Question Answering.
I was also a teaching assistant for Intro to Machine Learning in Fall 2016, taught by Dr. Stefan Lee for which I developed Kaggle competitions and curated and graded homeworks and poster sessions.

Mentor, CloudCV, Google Summer of Code '16, Apr-Aug 2016

Mentored and presently maintain the Google Summer of Code project CloudCV-IDE, a web platform to build deep neural networks via a simple drag and drop interface. [GitHub]

Member of Technical Staff, Adobe Systems India, Jul '15-Aug '16

Worked on the Android and front-end webapps of Adobe Captivate Prime, a newly launched Learning Management System for enterprise.

R&D Intern, Tonbo Imaging, Jan-Jun '15

Computer vision startup developing sensor systems for battlefields and reconaissance.

Developed algorithm for automating camera calibration and implemented a boresighting algorithm for the company's video precision boresight tool.[Report]

Summer Intern, Adobe Presenter Video Express, May '14-Aug '14

Developed a graphcut-based segmentation algorithm for real-time background substitution in video that combined color, motion and shape cues and demonstrated robust segmentation across various backgrounds.[Demo][Blog][Report]

Summer Intern, May-Jul '13

Developed a web portal using the LAMP stack to automate customer data log creation for internal quality assessment purposes.

Birla Institute of Technology and Science (BITS), Pilani, Aug '11-Jul '15

Bachelor's Degree: Computer Science

Relevant Coursework: Pattern Recognition, Machine Learning, Information Retrieval, Parallel Computing