Capability profiles for the AI era.
Builder, AI consultant, and creator. I build AI agents, workflow automation, full-stack apps, and a datacenter simulation game in Rust. AI systems design and workflow automation through Blue Ridge Systems — cutting the hype and shipping real solutions.
🔗 abstractryan.aiDesigns and builds multi-agent AI systems using frameworks like AutoGen; architects agent workflows with defined roles, communication pipelines, and validation loops.
Production-level Python across CLI tools, network automation, REST APIs, AI tooling, and open-source libraries.
Builds structured prompt management systems with template variables, context-aware suggestions, AES-256 encrypted storage, and CI/CD integration.
Architects network automation platforms and config management tools for DC and enterprise environments; Ansible, leaf/spine fabric, REST API abstraction.
Trains and publishes language models; explores ML concepts through Jupyter notebooks and the Hugging Face ecosystem.
Building a datacenter simulation game in Rust and Bevy (ECS), including power distribution, thermal management, CLOS networking, and cascading failure systems.
Authors Model Context Protocol servers (e.g. tox-testing MCP server) that expose tools for LLM-driven workflows and CI/CD integration.
Builds full-stack web apps and SaaS products end-to-end, including AI-native portfolios and artist dashboards, using Python, TypeScript, React, Next.js, and Tailwind.
Re-architected Ansible scripts into a global cloud platform (Apstra CloudLabs) on AWS; onboarded Juniper's entire sales and support org.
Helps organizations design AI systems and workflow automation through Blue Ridge Systems, cutting through hype to deliver real production solutions.
Authors Teardown weapon mods in Lua with configurable firing modes, particle effects, and in-game options menus.
Integrates automated testing and deployment pipelines; uses tox, pytest, Vagrant, Ansible, and MCP tooling to streamline dev workflows.
Re-architected a handful of Ansible scripts into a global cloud platform on AWS; survived an acquisition, onboarded Juniper's entire sales and support org, and convinced a Fortune 500 CEO to increase the budget. Team of four.
Deliberately complex datacenter simulation game built in Rust and Bevy — power distribution, thermal management, CLOS networking, cascading failures, a local multi-agent AI narrator (CHIP), and 80+ integration tests. An agentic development case study.
AI-native portfolio site forked, rebuilt, and extended with A2A protocol support, agentic deployment, and a cyberpunk aesthetic — managed entirely by an AI collaborator.
Full SaaS product built entirely through AI prompts (no code written by hand) using Python and FastAPI. Act 1 of an agentic development experiment whose methodology became the foundation for Root Cause.
Open-source Python library that abstracts Apstra's REST API into an approachable interface for network engineers familiar with CLI — built to teach while it automates.
AI-powered Kanban system for managing Product Requirements Documents with automated development workflow integration.
Causal language model fine-tuned on the ELI5 dataset and published to Hugging Face, demonstrating hands-on model training with GPT-2, PyTorch, and the Transformers library.
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