Summary
Adam Page is a Principal AI Engineer with a Ph.D. in Computer Engineering and eight years leading production-grade machine learning from edge to enterprise. He architects and ships low-power edge AI platforms—building Ambiq’s AI Developer Kits and a TFLite Micro fork with AOT compilation, custom kernels, and profiling tooling for Apollo SoCs. Previously he led global ML/AI programs at Samtec delivering computer-vision testers, RF anomaly detection, and MLOps-backed production systems, and earlier combined embedded firmware, DSP, and app development at Creative Micro Designs. He blends deep research experience in efficient deep learning for health and vision with hands-on hardware bring-up and telemetry instrumentation. Based in Baltimore, he’s focused on making AI smaller and faster, routinely turning algorithmic advances into resource-constrained, deployable products. An unusual strength is his end-to-end fluency across firmware, compilers, and cloud pipelines that accelerates real-world inference delivery.
8 years of coding experience
9 years of employment as a software developer
UMBC