Meshal Alawein

profileactive

Meshal Alawein is a computational physicist and systems architect based in San Francisco, CA. His work spans two primary domains: quantum computing / high-performance physics simulations on one side, and AI governance / systems architecture on the other.

Professional focus:

  • Building Kohyr, a Category Theory-based AI governance pipeline with zero runtime dependencies and cryptographically verifiable proof witnesses
  • Building evaluation and governance tooling for AI agent workflows
  • Quantum computing research through the QAP Solver project and related HPC work
  • Web systems and personal platform development

Engineering philosophy: Offline-first, zero-dependency systems with mathematical rigor. Preference for formal methods (Category Theory, JSON Schema, predicate-based validation) over ad-hoc validation. Strong emphasis on auditability — all executing code must be in-repository and inspectable.

AI tooling environment: Operates with 103 globally installed Gemini CLI extensions, 16+ MCP servers in Claude Code, and a suite of locally developed plugins (kohyr, governance, repo-superpowers). Has established a comprehensive set of SOPs (Extensions Operational Protocol) governing which tools to invoke for each class of task.

Current focus (Q1 2026):

  • Kohyr fundraising — active investor conversation with Moxxie VC (Alex Roetter, Prateek Joshi)
  • LLM evaluation contracts via Mercor and Handshake AI (Project Watt, Project Ohm)
  • Workspace consolidation — unified governance across 28 repos, PKOS as canonical hub
  • 6 npm packages published (cli, mcp-server, sdk, plugin-bundle, design-tokens, agentic-math)

Headline variants:

  • LinkedIn: "Founder @ Kohyr | AI Systems Engineer | Computational Scientist"
  • GitHub: "Computational physicist. Building formal governance for AI agent workflows."
  • Short: "Physics PhD turned AI governance architect. Founder, Kohyr."
  • CV: "Computational physicist and systems architect specializing in AI governance, quantum computing, and high-performance simulation"