I’m currently an Applied Scientist at Amazon where I help this cute robot see the world with fast, accurate, and energy efficient computer vision. I recently graduated with a PhD in Electrical and Computer Engineering from Cornell University where I was advised by Prof Adrian Sampson.
My graduate research focused on efficient computer vision. I’ve found that abstractions can simplify the design process, but breaking down boundaries through hardware-software co-design can produce superior results. For this reason I see myself as a system creator rather than a hardware or software developer.
As an entrepreneurial engineer I quickly gravitated to both industrial and academic research. While finishing my M.S. at UMass Amherst I formed Firebrand Innovations as a way of monetizing intellectual property I developed while in high school. These days I can be found in Amazon’s robotics lab building powerful and exciting new computer vision systems.
PhD in Electrical and Computer Engineering, 2019
M.S. in Electrical and Computer Engineering, 2014
University of Massachusetts, Amherst
B.S. in Electrical Engineering, 2012
Rensselaer Polytechnic Institute
Using a reversible imaging pipeline to optimize sensor and ISP design for computer vision
Helpful scripts I wrote for downloading and parsing Google’s huge video dataset
A Halide implementation of a forward and reverse computational photography pipeline
Hardware accelerator for neural network computation using the LNS
My M.S. thesis on synchronization circuits and systems for multi-clock domain Networks-on-Chip
ECE 3140 (Embedded Systems) Spring 2015 - Teaching Assistant - Cornell University