I’m a Computer Vision Research Engineer... turned manager!
I invested most of my past time researching Computer Vision solutions, planning, hiring, implementing prototypes, establishing business value, and taking prototypes through productization.
I have demonstrated my ability to manage Research and Development teams of various sizes for the past 7 years. I have a proven ability to work well with people across different organizations, locations, and diverse backgrounds.
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I'm currently thinking about the application of this: Given data D and algorithm A with A(D) intractable, can we efficiently reduce D to C so that A(C) is fast and A(C)~A(D)?
I now work as a Manager of Applied Science at Amazon. I work on Amazon Go (Just Walk Out stores) related challenges where I get to use my technical background and strategic thinking to develop the future of physical stores. I'm also learning a ton at this great company!
An Amazon Go store in WA. Photo by Nick Statt / The Verge
I worked at Iris Automation for 5 years! Leading the R&D team in the development of sense and avoid systems for industrial drones. For my contributions in Sense and Avoid using Computer Vision I was awarded the MIT Innovator Under 35 recognition in 2017.
Manned aircraft detection
Our system installed in a traffic intersection
I co-founded View-Factor
In October 2018 I co-founded View-Factor, where we aimed to improve vehicular traffic in cities by using Computer Vision and Machine Learning. We worked on sensing, traffic lights orchestration, and traffic analytics.