Hi! 👋🏽 I’m a multi-disciplinary engineer, technology communicator and doodler. I write and talk about machine learning, specialized machine learning hardware (AI Accelerators), high-performance computing (HPC) and AI in the cloud. I’m passionate about Math, statistics, linear algebra, numerical optimization, control theory, non-linear dynamical systems (and chaos), and astrophysics.
I’m a developer advocate at Modular AI. I’ve previously worked at Meta, Amazon Web Services (AWS), MathWorks (MATLAB & Simulink), NVIDIA and Oracle in various roles including software development and product marketing. I find most joy in developer education and I put a lot of my energy in content creation and story telling.
Not Work: I’m a passionate recreational runner 🏃♂️, running shoe geek 👟 and a coffee connoisseur ☕️.
I’m an Electrical engineer with a specialization in Control Theory and Non-linear Dynamics. My graduate research was advised by Dr. Leon Iasemidis.
In my graduate thesis Directional Information Flow and Applications I discussed the application of transfer entropy (a model-free, information theoretic measure) to the detection of epileptogenic focus in the brain (origin of epileptic seizures).