About Me

I wake up every day and build technology to amplify the human experience. Whether building a new class of solar tracking device or simulating complex electro-mechanical systems using finite element analysis, I am energized to work on tools that will 10x your daily output.

Sound useful? Send me an email or message.

Contact Details

Doug LaMaster
(928) 362-0986


  • Electro-mechanical aptitude
  • IoT / Embedded Systems
  • Automatic controls
  • CAD modeling (Solidworks, Autodesk Fusion 360)
  • prototyping (e.g. 3D printing, CNC milling, etc.)
  • Programming (e.g. Python, MATLAB, C/C++)
  • Web Design/Development
  • Finite Element Analysis
  • Cryptology
  • Machine learning
  • Linux


Senior Research Engineer

Riverside Research August 2018 - Present

I work with Riverside Research to evaluate electronics using Machine Learning and additional analysis techniques to ensure Trustworthy and Resilient solutions.

PNT Engineer

Pretalen March 2017 - August 2018

As a Position, Navigation, and Timing engineer, I have become the subject matter expert for inertial systems and sensors at PreTalen. My responsibilities include: hardware engineering, programming, algorithm development, and 3D CAD modeling of enclosures.

Process Engineer

Intel March 2016 - March 2017

I worked as a process engineer doing lithography for high-volume chip manufacture for Intel. In just months, I advanced to the role of tool owner and became the primary point of contact for a fleet processing approximately $1.2B worth of product and a secondary point of contact for a fleet processing $2.15B worth of product. I also automated key data collection and took the lead to update aging specifications and procedures.


Gas Transmission Systems August 2014 - March 2016

Gas Transmission Systems (GTS) is a leader in providing engineering consulting related to natural gas pipelines. I engaged in the design of a 4-mile hydrotest. I automated processes to perform preliminary data validation showing tests and upcoming work for over 1,300 miles of flagged pipe. I also led a team of 5 to review over 2000 leak forms.

Research Assistant

NAU Mechanical Engineering Department Jan 2011 - May 2014

Magnetic Shape Memory Alloys (MSMAs) are a new class of smart material with applications as actuators, sensors, and power-harvesters. I adopted the responsibility of Chief Modeler to predict the response of the MSMA to a magneto-mechanical loading in 3-dimensions. I produced several peer-reviewed journal articles and several conference papers.


Masters of Science in Mechanical Engineering

Northern Arizona University May 2014

My studies included Finite Element Analysis (ie. FEA, FEM), Automatic Controls, and Smart Materials. My thesis focused on modeling the response of magnetic shape memory alloys (MSMAs or FMSMAs) to magneto-mechanical loadings in 3 dimensions.

Bachelors of Science in Mechanical Engineering

Northern Arizona University May 2012

Obtained my bachelors in Mechanical Engineering with an emphasis on solid mechanics.

Bachelors of Science in Mathematics

Northern Arizona University May 2012

Obtained my bachelors in Mathematics concurrently with my bachelors in Mechanical Engineering. Emphasis in applied mathematics.

Contact Form

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