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Fato07/README.md

Fathin Dosunmu

Building agent infrastructure · Security-first

I build the unglamorous primitives that let AI agents do real work in the world — identity, verification, and the parts of the stack people skip until they break.

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GitHub Streak

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TL;DR

  • What I do: Ship agent infrastructure and vertical AI products from Tallinn.
  • How I work: Thin verticals → real benchmarks → instrumented → iterated.
  • Stack: Next.js / TypeScript, Python, Postgres, Cloud Run / Vercel, Claude Code, MCP everywhere, multi-model routing.
  • Background: MSc Cybersecurity (TalTech). Ex-Zing, Monese, InsightAI.
  • Interests: Agent identity & threat models, MCP server design, agent evals, post-quantum migration.

What I'm building now

  • AgentSIM — Real SIM-backed phone numbers as an identity layer for AI agents. SMS/OTP verification that actually works because the number is real. Wrapping Twilio gives you a phone number; AgentSIM gives an agent a verified identity.
  • BackToBirth.ai — AI-powered aviation compliance verification for EASA Part-145 MROs. Dual-model certificate cross-referencing, benchmarked at 95.8% F1 on a 141-document set (AeroBench).
  • ELAV — GTM intelligence infrastructure for 15–50 person services companies where the CEO is the knowledge bottleneck.
  • Agent tooling & MCP — Including log-analyzer-mcp (on PyPI) and a multi-agent orchestration setup wired through Telegram and Slack.

Open to: EU MRO pilots for AeroCert, AgentSIM design partners, and serious partnerships on agent infra.


Operating principles

  1. Outcome first — align on the metric that matters before writing a line.
  2. Threat-model early — auth, data boundaries, audit trails before features.
  3. Ship thin verticals — value in days/weeks, not quarters.
  4. Instrument everything — traces, evals, real benchmarks over vibes.
  5. Harden & iterate — red-team, incident drill, fail loudly.

Tech I reach for

(But I'm dynamic — the right tool depends on the problem.)

  • Languages: TypeScript, Python, Go
  • Frontend: Next.js (App Router), React, Tailwind, shadcn/ui
  • Backend: Node, Python, PostgreSQL, Redis, Supabase
  • AI/Agents: Claude Code (heavily), MCP, multi-model routing (Groq, Cerebras, Fireworks, Gemini), custom eval harnesses
  • Infra: GCP Cloud Run, Vercel, Docker, OpenTelemetry
  • Security: OWASP LLM Top-10, agent threat modeling, GDPR, SOC 2 / ISO-27001 alignment

🌱 Currently exploring

  • 🔐 Agent identity — the verification layer for autonomous systems
  • 🧰 MCP server design patterns (and what actually breaks in production)
  • 🛡️ Adversarial evaluation of agent tool-use ("Your Agent Is Mine"–style threats)
  • 🔭 Post-quantum migration for critical public infrastructure

Work with me

DM on X @FathinDev or LinkedIn. Briefs: hello@codesdevs.io


Contribution Activity

Activity Graph


"Ship thin verticals that solve real problems. Measure everything. Build the boring parts well."

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  1. log-analyzer-mcp log-analyzer-mcp Public

    An MCP server for AI-powered log analysis. Parse, search, and debug log files across 9+ formats — right from Claude Code.

    Python 5 1

  2. AgentLead AgentLead Public

    Python 1

  3. prism prism Public

    First adversarial AI validator on ERC-8004

    Python 2

  4. agit agit Public

    AI-native Git workflow tool with MCP server for agent-driven development

    Go 1