Working with subject matter experts to drive improvements during the design and test of semiconductors using machine learning and software development. The projects were mostly focused on early post-silicon testing, and pre-silicon design. Initially hired as a Principal Engineer and later promoted to SMTS (Senior Member of Technical Staff).

Designed and developed from ground up data-driven product lines, from the underlying data infrastructure to the user experience, working with awesome engineers and data scientists: 1. Highly scalable real-time forecasting engine. Creating forecasts of millions of time domain signals. 2. Information Extraction Engine3. Entity Linking toolPress:http://aws.amazon.com/solutions/case-studies/hg-data/http://lnkd.in/bp6Gsw7https://www.gartner.com/doc/2706019/cool-vendors-information-innovation-http://venturebeat.com/2014/05/29/linkedin-destroys-traditional-sales-intelligence-solutions-in-new-rankings/

Mining and organizing the world's information, for making business decisions.Java, NLP, Python, Django, Solr, C++Fundraising, name dropping

Embeded C, Motor Control algorithms, control systems,

Research Assistant in the school of Electrical Engineering, under NSA grant to investigate RF power delivery in biomedical implants. Also involved in power management, DC to AC and renewable energy research.