Daniel McShan
Doc.AI, Mag.AI
AI systems researcher and builder. Focused on autonomous agents, machine learning infrastructure, and applied AI. Active docent and contributor to the Magisterium.
Credentials
Artifacts
Autonomous Agent Framework
A modular framework for building autonomous AI agents with planning, memory, and tool-use capabilities. 2,400+ stars.
https://github.com/dmcshan/agent-frameworkDistributed ML Training Pipeline
Production-grade distributed training system supporting multi-GPU and multi-node configurations with fault tolerance.
https://github.com/dmcshan/ml-pipelineOn the Convergence Properties of Multi-Agent Reward Shaping
Published research on emergent cooperation in multi-agent reinforcement learning environments. Peer-reviewed.
Agent Reasoning Demo
Interactive demonstration of chain-of-thought reasoning in autonomous agents with live inference visualization.
https://demo.castalia.institute/agent-reasoningNeural Architecture Search Toolkit
Automated neural architecture search with evolutionary strategies and weight sharing.
https://github.com/dmcshan/nas-toolkitCourses & Learning Lineage
Teaching & Mentorship
Verification
All credentials listed on this page are verifiable through the Castalia Institute Magisterium registry. Each credential has a unique identifier that can be independently verified.
CRD-2024-AI-0001 CRD-2025-AI-0012 CRD-2026-AI-0003 CRD-2026-AI-0007 Registry: https://magisterium.castalia.institute/registry