Ally
An AI-native operating organism: logically separated agent teams, layered memory, governed action, and a shared life ontology designed to turn one human's intent into coordinated work.
Project briefPersonal Page / - Ryan Powers
I am always learning, building, and pushing my limits. This is the portal that encapsulates the work, ideas, lessons, experiments, things that worked, and things that didn’t—all in one place.
Select an area to explore the specialties and the work behind it.
Predictive modeling · Deep learning · Behavioral modeling
Harness engineering · Multi-agent systems · Context & memory
Cybersecurity · Identity & access · Network security
Cloud architecture · Networking · Virtualization
Workflow design · Application integration · APIs & webhooks
Dendroaspis · Behavioral modeling · Efficient inference
Vision & Initiative
[DECLASSIFIED]
An AI-native operating organism: logically separated agent teams, layered memory, governed action, and a shared life ontology designed to turn one human's intent into coordinated work.
Project briefSelected portfolio
AI Systems, Applied Machine Learning, Agentic Engineering, WoodWorking, and more.
See MoreAn experimental operating system for a single-human company: a deterministic operational spine, governed agent teams, scoped memory, and a structured model of organizational reality in PostgreSQL.
Can a transformer beat the MLP inside PPO and SAC? A three-way study placing the transformer on the actor, the critic, or both, with a CoordConv-ResNet encoder, the failure modes that shaped it, and held-out results across five agents.
A template system for Claude Code: a base layer of agents, skills, commands, hooks, and rules merged with a domain layer and scaffolded into a project's .claude folder.
Latest Writing
Insights on AI, security, infrastructure, research, and more.
Explore More InsightsA research note on giving efficient local models and larger central systems different jobs inside one security architecture.
From the law of large numbers to Mamba-based telemetry analysis and human trial-and-error, the value of repetition depends on what the process lets us observe.
A practical explanation of ML-KEM, hybrid key establishment, and the inventory, testing, and crypto-agility work required for a credible post-quantum migration.

I’m an engineer at heart, drawn to complex problems and the systems behind them. I spend most of my time building AI systems, designing and improving technical infrastructure, and translating emerging technology into practical tools people can actually use. I'm always learning, experimenting, and expanding the range of problems I'm capable of solving.
My life has been shaped by experiences that were anything but ordinary—challenges, setbacks, injuries, accidents, and more than a few unexpected turns. Those experiences have shaped how I see the world, how I approach difficult situations, and ultimately, how I choose to live.
From providing clothing to thousands of orphans in Djibouti and Kenya, to rescuing animals from the war-torn Middle East, I've had experiences that have profoundly shaped who I am. I hope that by sharing some of that journey, others can learn something from it, find inspiration, or simply feel motivated to keep moving FORWARD.
Learn More About Me