Principal Software Engineer @ Microsoft

Building the Future of
Autonomous AI Systems

Agentic AI Architect • Engineering Leader • Scale by Subtraction Pioneer

I design production-ready AI agent systems that are reliable, governed, and truly autonomous—not just sophisticated chatbots. My work focuses on Control Planes, Deterministic Graphs, and the radical idea that systems scale better by removing complexity.

0%
Safety Violations
vs 26.67% prompt-based
2,600+
Tests Passing
across Agent OS + AgentMesh + SRE
6
Published Integrations
3 merged · 3 on PyPI/ClawHub
20+
Patents
data platforms, AI, sustainability

Governance layer integrated with

Dify 65K ⭐ LlamaIndex 47K ⭐ LangGraph 24K ⭐ OpenAI Agents 19K ⭐ Agent-Lightning 15K ⭐ OpenClaw

170K+ combined GitHub stars · 14 more proposals pending

🧠 Philosophy

Scale by Subtraction

The next generation of AI scaling won't come from adding more tokens—it comes from removing complexity.

🏗️

Control Planes over Prompts

We don't ask microservices "nicely" to respect rate limits; we enforce it. Why treat AI agents differently? Build the Kernel for the AI OS.

🕸️

Graphs over Context

Don't detect hallucinations after generation—prevent them structurally with multi-dimensional Knowledge Graphs that define what's possible.

🔇

Silent Swarms over Chat

Language is for humans. Code is for machines. The best agents are the ones that can't talk—they communicate through structured data.

🚀 Featured Work

Production-Ready AI Infrastructure

Open source projects that make autonomous AI systems reliable, governed, and actually useful.

🔬
Research

Scale by Subtraction

My methodology for building reliable AI systems. Focus on removing complexity rather than adding features. Via Negativa applied to software architecture.

Methodology AI Safety Architecture
📝
Writing

Technical Articles

Deep dives into agentic systems, architectural patterns, and the philosophy of building AI that works. Published on Medium and Dev.to.

Medium Dev.to LinkedIn
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✍️ Writings

The "Scale by Subtraction" Collection

Challenging conventional AI wisdom with practical, battle-tested approaches.

01

The Accumulation Paradox

"Sustainable agent architecture does not require agents that remember more; it requires agents that know how to forget."

02

The Mute Agent

"Stop trying to prompt-engineer safety. Shift the burden of constraints from the probabilistic LLM to the deterministic Knowledge Graph."

03

The Agentic Architect Series

"We don't ask microservices 'nicely' to respect rate limits; we enforce it. Why are we treating AI agents differently?"

Read All Articles →

Ready to Govern Your AI Agents?

Get started in 30 seconds. Zero policy violations, tamper-evident audit trails, and trust-gated agent handoffs.

⭐ Star on GitHub pip install agent-os-kernel
🔗 Connect

Let's Build the Future Together

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