I have diverse experience in statistical and machine learning, time series analysis, data-driven mobile marketing, software development, and hardware design. I have a strong publication record and am a strong advocate of open source. Have built a team of exceptional researchers from the ground-up. An effective communicator and deft at working with cross-functional teams in different geographies.

Seasoned architect with exceptional deep dive analysis skills in both hardware & software and with extensive experience in R&D of novel techniques, based on statistical learning and time series analysis, to address end-user experience/revenue impacting problems.

Highly passionate about building efficient, scalable distributed and cloud systems and optimizing capacity to reduce operational costs. Led performance and scalability efforts for a large number of application teams. Evangelist of data-driven decision making, performance and scalability best practices to both external and internal audiences.

Specialties:

Team building
Statistical modeling
Data-driven decision making
Performance and scalability analysis and optimization - with a focus on large clusters comprising of multi-core nodes
Workload characterization
Compiler-driven optimization and parallelization
Performance modeling using hardware performance counters