About Shawn Maybush

By day, I lead infrastructure decommissioning and hardware lifecycle operations at Amazon Web Services (AWS). By night, this workbench is where I explore autonomous robotics, mathematical modeling, embedded Linux systems, and developer-facing AI tools.

Engineering Focus

The workbench is dedicated to practical, ground-up engineering. Rather than treating hardware as an abstract black box or machine learning as magic, the focus is on understanding how the physics, algebra, and kernel drivers fit together:

• Robotics & Kinematics: Formulating non-linear forward and inverse kinematics using dual quaternions to eliminate representation singularities, and benchmarking fast edge inference for multi-DOF limbs.
• Embedded Systems & Microcontrollers: Writing native C++ Linux I²C drivers for servo controllers (like the PCA9685), creating virtual hardware stubs (i2c-stub), and bridging physical buses into containerized ROS2 environments.
• Applied Machine Learning & Toolchains: Leveraging Vertex AI, JAX, and local agent frameworks to build automated engineering companions and structured output pipelines.

Education & Background

I graduated Summa Cum Laude with a B.S. in Computer Science (Minor in Data Science) from Old Dominion University (GPA: 3.9) in June 2026. I also hold an A.S. in Computer Science (Summa Cum Laude) from Reynolds Community College and completed Udacity Nanodegrees in AI Programming with Python and Computer Science algorithms.

Writing & Notes

You can explore technical write-ups in the Lab Notes, review my career history on the Resume page, or inspect the underlying architecture on GitHub.