Hi, I'm Pablo 👋

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I am Pablo M. Suarez, founder of Apohara. I build silicon-native infrastructure for multi-agent LLM systems, validated on real AMD Instinct MI300X hardware. Every numeric claim I publish traces back to a peer-reviewed result or a reproducible benchmark — no exceptions.

🏛  Company        Apohara, founder
🔭  Building       Silicon-native KV-cache infrastructure for multi-agent LLMs
⭐  Flagship       ContextForge — Zenodo DOI 10.5281/zenodo.20277875
💬  Ask me about   vLLM, ROCm, AMD MI300X, multi-agent orchestration, MCP
🧪  Method         Scientific. Logic over speed. Confirm or deny.
⚡  Fun fact       Every number I ship has a DOI or a repro script behind it.

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🛠️ Tech Stack

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📊 AI Usage

GitHub embed snippet

[![Tokscale Stats](https://tokscale.ai/api/embed/SuarezPM/svg?sort=cost&compact=1)](https://tokscale.ai/u/SuarezPM)

_{I orchestrate fleets of coding agents — this is what the bill looks like.}

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📌 Featured Projects

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🌐 The Apohara Ecosystem

Project	What it does	License
⭐ ContextForge	The first formally-verified safety layer for multi-agent LLM pipelines. Share the KV-cache to make agents affordable — without silently corrupting your judges. 44% fewer prompt tokens, 3.55× KV-cache VRAM reduction at INT4, 0/1210 safety violations. Carries a permanent Zenodo DOI. Flagship.	Apache-2.0
🚀 apohara-synthex	Evidence layer inside Bright Data. Scrape, classify, then sign verifiable web intelligence. MCP companion to brightdata-mcp.	see repo
Apohara-Catalyst	Rust local-first orchestrator that races the AI coding CLIs you already pay for. Parallel dispatch in isolated git worktrees, with quality gates.	see repo
apohara-consilium	Agent Governance OS for autonomous AI in regulated industries.	Apache-2.0
apohara-probant	A different AI reviews the code your AI just wrote, while agent memory stays isolated. Defense-in-depth for AI-generated code.	see repo
apohara-aegis	Defense-in-depth trust layer for multi-agent LLMs. Governed context in, inspected prompts out.	Apache-2.0
Apohara-Guard	Isolation primitives and ML-subprocess sandbox patterns for the PROBANT ecosystem.	AGPL-3.0
apohara-framework	Private / in development.	—
rag-from-scratch	RAG implemented from scratch in Python, with step-by-step explanations.	see repo
brightdata-mcp	Fork of brightdata/brightdata-mcp. Not my project — PR opened upstream.	upstream

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📈 GitHub Stats

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📉 Contribution Graph

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🐍 Contribution Snake

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📫 Connect

The pitch is the curve, not a single number.

🪨 Silicon-native, or it doesn't ship.