San Jose, California, United States
* Interned on the Ad Spam Infrastructure team, which provides the software systems Google uses to identify spam in its Ads traffic * Worked on the Real-Time Spam Filter, which filters clicks and impressions in real-time, acting as Google's first line of defense against spammy Ads traffic
* Investigated the use of the Transmission Control Protocol (TCP) in sensor networks of embedded devices. I focused specifically on the interaction between TCP and the underlying IEEE 802.15.4 physical and MAC layers of the network. * Contributed to a data processing system to efficiently handle high-volume timeseries data as part of the Advanced Research Project Agency (ARPA-E) sponsored Micro-Synchrophasor Project. Wrote software to efficiently collect Big Data from uPMU devices, and visualize the data collected. The application is currently deployed at https://plot.upmu.org/ (works best in Google Chrome). * Designed and implemented software to turn the Center for the Built Environment’s heated/cooled chair into a smart device that reports usage data in real time over the Internet, and provides an API for remote actuation. Realizes well-connected microzones that (1) allow the people to control their microclimates according to their comfort needs, while (2) providing feedback to the Building Management System that can be used to algorithmically adjust heating, ventilation, and cooling (HVAC) of the building according to usage data. This has the potential to save energy spent on HVAC while increasing human comfort