Mark Minton
AI Engineer & Computer Vision Specialist based in Houston, Texas. I build machine learning systems that make sense of the world through imaging. When I am not writing code, I am either mountain biking or looking up at the stars.
My professional work sits at the intersection of computer vision, infrared imaging, and data engineering. That same technical eye informs how I approach astrophotography: every capture is a calibration problem, every stack a signal-to-noise challenge.
Career
AI Engineer — Honeywell
Fine-tuned computer vision algorithms for gas detection using OpenCV and Python, driving a $10M revenue increase. Maintained full-stack Linux servers (C++ ZMQ / Postgres / React) at 95%+ uptime, developed a CNN-based gas detector with TensorFlow & Keras, built hyperspectral lens classification models with Sklearn, and overhauled customer-facing emissions reporting tools.
Software Engineer — Emotion Robotics
Implemented real-time people detection on NVIDIA Jetson using ToF sensors and delivered custom elevator automation software to customers.
Research Assistant — University of Houston Clear Lake
Studied infrared sensor calibration (NUC, ASA addressing) and designed image processing simulations for rectangular and hexagonal sampling in Matlab and Python.
Engineering Intern — Infrared Cameras Inc.
Programmed Arduino control modules for camera calibration temperature loops, cutting lookup-table build time by 50%.