Natural Language Understanding team at Google Research

Co-founder of a skunkworks research project that has been invited to the new in the new IBM Watson Group. We are currently focusing on bringing together natural language processing, large knowledge graphs, bayesian inference and automatic learning. My role is as the system architecture for this large-scale application, which includes data analytics components, and online, low-latency, web components.

Working in the Datacenter Systems Software Group, and am interested in data-center/cloud scale systems. Working on two main aspects of distributed applications:

1) How to reduce developer effort for writing scale-out applications

2) Implementing new techniques for improving fault-tolerance of scale-out applications

Research in the area of operating systems and computer architecture, focusing on run-time performance. Created a novel operating system interface for traditional monolithic kernels (e.g., Linux), called exception-less system calls, that enables applications to communicate with the operating system via asynchronous messages. Created a new POSIX compatible threading library to support multi-threaded server applications to efficiently use exception-less system calls (e.g., Apache, MySQL and BIND). Created a new event-driven library to support explicitly asynchronous application/OS execution, and ported memcached and nginx to this new library. Demonstrated that exception-less system calls leads to efficient execution on multi-core processors.

Created an OS-based system for improving processor cache performance called "software pollute buffer". The system profiles application cache performance at run-time, through hardware performance counters, and dynamically remaps application pages with poor cache utilization, using standard page-coloring.