About Me

Doug LaMaster has established himself as a versatile engineering professional with a profound expertise in a wide range of fields, including machine learning, programming, cryptography, electrical testing, embedded systems, finite element analysis, and more.

Throughout his career, Doug has demonstrated a consistent track record of innovation and problem-solving. At Leidos, he leverages GPS technologies to explore new applications across various domains. Previously, at Riverside Research, he worked with AFRL (Air Force Research Lab) to develop cutting-edge machine learning algorithms to perform side-channel analysis. During his time at PreTalen, he excelled as a PNT engineer, becoming a subject matter expert on inertial systems and sensors. He also worked at Intel processing millions of dollars worth of product weekly.

But his passion right now is in using automation and machine learning to help people.

Contact Details

Doug LaMaster
(928) 362-0986
doug@douglamaster.com

Education

Northern Arizona University

Master of Science in Mechanical Engineering May 2024

Completed thesis and published papers on a novel thermodynamic model to predict the response of a magnetic shape memory alloy (MSMA) to magneto-mechanical loading.

Northern Arizona University

B.S. Mechanical Engineering May 2012

Completed studies in Mechanical Engineering with an emphasis in solid mechanics and heavey extracurricular work in electronics. Researched, characterized, and manufactured structural super capacitors.

Northern Arizona University

B.S. Mathematics May 2012

Completed studies in Mathematics. Emphasis in applied Mathematics.

Work

Leidos

PNT Engineer June 2023 - Present

As a Position, Navigation, and Timing Engineer at Leidos, I have been responsible for determining methods to use GPS both defensively and offensively. Automated pipelines to allow for faster experimentation.

Riverside Research

Senior Research Engineer August 2018 - June 2023

As a senior research engineer, I work to develop the tools to perform the data analysis to evaluate micro-electronics. Assessment involves development of machine learning algorithms for classification and evaluation. Experimented with Convolutional Neural Networks, Data analytics, pre-processing techniques, classification, data pipelines, and statistical models.

PreTalen

PNT Engineer 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.

Intel

Process Engineer March 2016 - March 2017

As a process engineer and tool-owner in the high-volume manufacture of computer chips, I was responsible for keeping production running at full capacity. Within months, I became the primary point of contact for a fleet of lithography machines processing approximately $1.2B worth of product weekly.

Skills

My education in mechanical engineering and mathematics gave me a broad set of interests and experiences to draw from. The field I am most passionate about right now is AI.

  • Neural Nets (CNNs)
  • Random Forests, Ensemble Techniques
  • Graphical Neural Nets
  • Data Preprocessing (MDA, PCA, FFTs, Wavelets...)
  • LLMs and NLP
  • Cryptography (AES, ECC, RSA, PQC)
  • Python
  • SQL
  • TensorFlow

What processes can be automated to eliminate the tedium?

Testimonials

  • Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven't found it yet, keep looking. Don't settle. As with all matters of the heart, you'll know when you find it.

    Steve Jobs
  • This is Photoshop's version of Lorem Ipsum. Proin gravida nibh vel velit auctor aliquet. Aenean sollicitudin, lorem quis bibendum auctor, nisi elit consequat ipsum, nec sagittis sem nibh id elit. Duis sed odio sit amet nibh vulputate cursus a sit amet mauris.

    Mr. Adobe

Contact Form

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit.

Morbi leo risus, porta ac consectetur ac, vestibulum at eros. Integer posuere erat a ante venenatis dapibus posuere velit aliquet. Cras justo odio, dapibus ac facilisis in, egestas eget quam. Morbi leo risus, porta ac consectetur ac, vestibulum at eros.