PDF Resume is here.
Tagline: Software Engineer | Product Manager
Education - University: B.S. Applied Mathematical Physics, UC Davis
Education - Coursera: Machine Learning, Data Science, Stanford, Johns Hopkins
==>> Recent Project: Tutorial deck: Least Squares Curve Fitting as Intro to ML with R code is here
Introduction
CV + side projects + links to Github etc. are on my website
Interests
About
Notable Highlights (in chronological order)
Cybernex, Electronics manufacturing, thin-film head/arm OEM (used in disk drives)
Received credit for company achieving its first profitable quarter by formalizing and synchronizing electronic and microscopy inspection and calibration standards programs with large customer QA organization
Crucial to the above, developed linear regression models which enabled consistent electronic performance measurements
Aerojet Strategic Propulsion Company, Defense Contractor, CT inspection of missile components
Generated ~$200K in revenue by writing two funded NASA/DoD IR&D proposals for advanced CT technologies
Implemented Gradient Descent for non-linear curve fitting
Ophthalmic Imaging Systems, Medical retina imaging
Developed two market-leading clinical image processing workstation products under very tight timelines Objective Systems Integrators, Network Management Systems (NMS) OEM
At the request of CEO, solved major customer problem by envisioning and building a new product which allowed large Telecom customers to manage and deploy their NMS rulesets
Ai Metrix, Network Management Systems (NMS) OEM
Developed extremely easy-to-use graphical network status management dashboard product, - AutoGraph was crucial to winning first major ($5M) sale to the Defense Information Systems Agency (DISA)
Above sale helped facilitate subsequent $5M VC round
Autogeny, Startup (unsuccessful), horizontal Enterprise software platform
See resume link, above, for details.