Jeremy McEntire

Jeremy McEntire began his engineering career at Mashery, an API management company later acquired by Intel. He rose to I7 at Intel. Over the following two decades he moved through progressively senior engineering and architecture roles at companies spanning cloud infrastructure startups, API platform companies, and enterprise SaaS organizations.

He holds four US patents covering edge computing, API management, ambient structure discovery, and differential privacy — reflecting a career-long focus on infrastructure systems that operate at the boundaries of complexity and constraint.

McEntire developed Structural Compression Theory (SCT) across 40 papers covering four domains: activation geometry in neural networks (training dynamics, model composition, distillation detection), multi-agent coordination (priming selection, context fences, mode switching, chain scaling), organizational physics (information compression, governance, dysfunction), and a bridge theory unifying all through the Generative Lossy Channel framework.

Papers are published on Zenodo, arXiv, and SSRN, with work spanning the intersection of machine learning internals and the structural patterns that govern how organizations process and compress information.

McEntire maintains 13 open-source projects that bridge theory and practice. Notable projects include Signet (activation fingerprints for neural network analysis), Tessera (constraint-shaped agency), Kindex (persistent knowledge graphs), and a suite of privacy infrastructure tools.

These projects serve as working implementations of ideas from his research — tools built to test whether structural theories hold when applied to real systems.

McEntire is the author of seven titles published through Cage & Mirror Publishing, spanning organizational theory, software engineering, leadership, privacy, and fiction. His most recent work, City of Mercy (2025), marks his first published fiction title.

His nonfiction work focuses on the structural dynamics of teams and systems — how organizations compress information, where governance fails, and what practitioners can do about it.

Outside of engineering and research, McEntire pursues astrophotography, landscape, wildlife, and portrait photography. His work captures the same attention to structure and pattern that characterizes his technical output — finding form in natural systems and light.