Hi! I’m a software and research engineer currently working for a startup named in2H2.
At in2H2, we are developing a unique hardware architecture for accelerating data mining algorithms that are based on distance calculations (such as Euclidean distance or Cosine distance). Specifically, we are targeting performance-constrained applications of k-Nearest Neighbor search and clustering algorithms such as k-Means.
My role is in leading our benchmarking efforts (primarily against high-end GPUs) and our application research. As we look for opportunities for our hardware across different markets, I get to investigate a wide range of algorithms and applications. And, when I can, I like to share what I learn here. I find that one of the best ways, for me, to learn a subject is to try and communicate it to others. You often don’t realize what you don’t know about a subject until you try and explain it to someone :).
Education & Experience
|2006||B.S. Electrical Engineering, Stanford University|
|2006 – 2011||Embedded Software Engineer, Texas Instruments|
|2012 - 2014||Applications & Development Engineer, CogniMem|
|2015 - Present||Research Engineer / Head of Research, in2H2|
I always enjoy talking with other people who share an interest in machine learning and related topics; feel free to contact me at firstname.lastname@example.org, though please understand and forgive me if I don’t manage to reply.