Participated as team lead on MEMEX, a DARPA project out of the Information Innovation Office to develop next generation search and extraction systems. The initial application is the fight against human trafficking.
Created state of the art deep learning and factor networks based inferencing techniques resulting in over $4M in DoD funding released to Qadium towards developing our core technologies. Currently, every human trafficking investigation pursued by the Human Trafficking Response Unity in New York City involves MEMEX.
At UnifyID we're trying to solve the problem of authentication. Using factors like gait and location, we are able to authenticate individuals into their accounts.
Qadium creates and organizes knowledge about the world's devices. As a Data Scientist at Qadium's early stage, I helped build out the software for several federally awarded DARPA contracts.
Blockspring is an API programming platform. As a Junior Data Scientist, I helped train initial machine learning models that would eventually go into their first NLP "Blocks" api.
Precision engineering of microelectromechanical systems to specifications of single microns, from virgin silicon wafers through its final packaging and testing.