Mac McGregor
AI & Robotics

Mac McGregor — Lead AI & Robotics Engineer

Leads the BrightArc project and its use cases across BrightShields drones and Bright360 — combining mechanical engineering, AI, and data science.

Background

Mac McGregor is the Lead AI and Robotics Engineer at Bright Apps, responsible for leading the BrightArc project and its use cases across BrightShields' drones and Bright360. He has developed the project based on market research, writing government proposals, and planning architecture design, software development, and hardware implementation.

Mac is especially proud to have developed the BrightArc project from the ground up. The BrightArc project is a framework that can provide traditional ML capabilities with situational awareness — an exciting step in AI-driven robotics. His overall philosophy is not to reinvent the wheel but to use the wheel in a way that has never been imagined. Many of the engineering and physics principles from the past can be applied in new and different ways to today's problems. All it takes is creative thinking and an innovative approach.

Mac holds a B.S. in Mechanical Engineering with a Minor in Mathematics from the University of New Mexico, and a B.A. in Liberal Arts from St. Mary's College as part of the "3-2 Engineering Program." He is a mechanical engineer with a professional background in AI and data science, with a passion for integrating ethical AI technologies and mechanical systems. Mac has aided Bright Apps over the years with data analysis, machine learning algorithms, and quantum security, and now leads a new AI and robotics venture.

Focus areas

Programming
  • Python
  • C++
  • MATLAB
  • Arduino
  • Go
Innovation Solutions
  • Custom AI development using the latest in machine learning, deep learning, and Automated ML for predictive analytics, image / sound / text classification, and data analysis.
Natural Language Processing
  • TensorFlow
  • OpenCV
  • AutoKeras / Keras
  • Jupyter Notebook
  • Scikit-Learn
Software
  • PyCharm
  • AutoCAD
  • SolidWorks
  • ANSYS
  • Anaconda
Quality Assurance
  • Front-end testing
  • Unit Testing
  • Regression Testing
Machine Learning / AI
  • Supervised Learning
  • Unsupervised Learning
  • Reinforced Learning
  • Deep Learning

Ready to see what AI infrastructure actually looks like?

Discovery calls are the starting point. Tell us about your organization and we'll tell you whether we're the right fit.