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RickC

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About

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

  • Create next-gen Ed tech (RDF knowledge graphs for humans and machines)
  • Computational Critical Thinking/Argumentation
  • Massive graph-based public Health cause/effect data mining
  • AI/ML, Optimization

About

  • Strong technical and Product Management skills
  • Excel when entering new domains
  • Still trying to help/change the world

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

    • Above product also enabled shrink-wrapping and cross-selling of existing ruleset assets

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

  • Developed many state-of-the-art advancements in multiple software technology areas

See resume link, above, for details.