Umang Sharan

At Google, I worked on Subscribe with Google, enabling publishers drive reader conversions and engage existing subscribers across the web. Previously, I led the Google Hire backend infrastructure in Google Cloud, and Video Data services and Music Data infrastructure teams at YouTube. Please see my resume for more details.

I received a B.Tech. from the Indian Institute of Technology, Delhi and an M.S. from Purdue University, West Lafayette advised by Prof. Jennifer Neville.

Blog

I write sometimes on interesting technical challenges in personal projects, technologies and products I enjoy and other topics.
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Publications

Temporal Relational Classifiers for Prediction in Evolving Domains
Umang Sharan and Jennifer Neville
In Proceedings of the Eighth IEEE Conference on Data Mining (ICDM), 2008, Pisa, Italy.
Analyzing Video Services in Web 2.0: A Global Perspective
Mohit Saxena, Umang Sharan and Sonia Fahmy
In Proceedings of the Eighteenth ACM Conference on Network and Operating System Support for Digital Audio and Video (NOSSDAV), 2008, Braunschweig, Germany.
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Projects

Famnom
Famnom is an easy to use, micro-nutrient and macro-nutrient tracker. Eating healthy can be hard, FamNom helps with logging meals and nutrition tracking, generating meal plans based on nutrition preferences and what's available in your kitchen, including tools for helping families plan nutrition together.
Dhunio
A YouTube catalog for bollywood music. The backend was built on Django, MySQL and Solr, and was hosted on AWS.
vSketch
An iPhone app (Objective-C) to convert images to pencil sketches and oil paintings. Image processing is done on device, using canny edge detection, image segmentation, etc.
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