Worked with Security Engineering teams on implementing Data Privacy & Security Controls

Kensci was an early stage healthcare tech startup that offered a risk prediction ML platform for healthcare. Powered by Cortana and Azure services, Kensci's ML platform helps hospitals across the world to detect and eliminate clinical, financial and operational inefficiencies.Owned managing the security, privacy and operational aspects of Kensci's machine learning platform across a broad set of private, public and government customers. Further responsible for the vision, roadmap and implementation of moving protected health data from on premise to Azure cloud and defining the Cloud deployment strategy at KenSci.

Joined Microsoft to work on Infopath Form Services, a collaboration tool used to gather and process semi-structured data. within a year, moved to work on Parallel extensions to .Net framework and C++ AMP, two parallel technologies aimed at exploiting heterogeneous hardware. Moved on to help land Windows 10 Privacy story and finally owned the Windows & Devices Group's Universal Store ratings and review data platform product.

Optimized the performance of an in house developed molecule binning application to allow processing of dataset with six-dimensions. Ported that molecule binning application from Windows NT to IRIX (Silicon Graphics) platform.

Worked on Artificial Neural Networks, including back propagation algorithm, reproducing non-linear time series and a chaotic time series waves