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RaulMermans/README.md

Raúl Mermans

Applied AI & Software Engineer. I build analytical runtimes, AI agents, agent infrastructure and local-first AI tooling — and I measure whether they work.

Portfolio · LinkedIn


Selected work

Project What it is Strongest proof
BI Notebook Lab Browser-based analytical runtime: DAX engine, filter context, semantic models 1,024 tests · 82/83 DAX conformance cases pass
OpsTwin Operational simulation lab comparing workflow changes with paired simulation 430 tests (247 backend, 183 frontend) · live demo
DataBrief AI Bounded CSV/XLSX analysis pipeline producing grounded, source-cited reports 176 backend tests · every finding cites its artifact
Open VS Code Agent Coding agent built and benchmarked for a local 7B open-weight model 37.5% → 75.0% task success on a 24-task benchmark
IRIS OS Personal AI OS: evidence-backed attention, governed agents, human approval Architecture, contracts and synthetic traces
HALO Control Local AI infrastructure control plane: model routing, telemetry, authorization Architecture, contracts and a runnable routing demo

BI Notebook Lab, OpsTwin and DataBrief AI are open source (MIT). IRIS OS, Open VS Code Agent and HALO Control are public architecture editions of active private systems.

Progression: analytical systems (BI Notebook Lab, OpsTwin) → applied AI (DataBrief AI) → AI agents (Open VS Code Agent) → agent systems (IRIS OS) → local AI infrastructure (HALO Control).

Additional work

Overflow: an offline-resilient iOS training app (Expo, React Native, Supabase) with a dependency-aware sync outbox, row-level data isolation, program progression and 784 passing tests. It was assessed ready for an internal TestFlight beta.

External open source

Stack

AI systems Agent orchestration (CrewAI), MCP, tool calling, memory, human-in-the-loop approval, Ollama and open-weight models
Evaluation Benchmark harnesses, conformance suites, failure taxonomies, Vitest, Pytest, Playwright
Backend TypeScript, Node.js, Fastify, Python, FastAPI, SimPy
Frontend React, Next.js, Vite, React Flow, Recharts
Data PostgreSQL, SQLite, IndexedDB, DAX and semantic modelling, Power BI concepts
Infrastructure Local inference, Vercel, GitHub Actions

Current focus

  • Extending the Open VS Code Agent benchmark to BUILD and DEBUG tasks on local models.
  • Governed execution and memory in IRIS OS.
  • Bringing HALO Control up on the AMD Halo target hardware.

Pinned Loading

  1. bi-notebook-lab bi-notebook-lab Public

    Browser-based analytical runtime for learning semantic models, DAX evaluation and filter context, with a conformance-tested expression engine.

    TypeScript

  2. Open-VS-Code-Agent Open-VS-Code-Agent Public

    Local coding agent designed and benchmarked for open-weight models, with explicit tools, verification and recoverable mutation.

    TypeScript

  3. IRIS-OS IRIS-OS Public

    Public architecture edition of a personal AI operating system: evidence-backed attention, governed agents, memory and recoverable execution.

    TypeScript

  4. AMD-HALO-Control AMD-HALO-Control Public

    Public architecture edition of a local AI control plane: model routing, telemetry, workload authorization and observability for AMD Halo.

    TypeScript

  5. OpsTwin OpsTwin Public

    Decision-support lab for testing service-workflow changes before deployment through paired discrete-event simulation, uncertainty analysis, and operational evidence.

    Python

  6. DataBrief-AI DataBrief-AI Public

    Bounded spreadsheet intelligence system for turning CSV/XLSX files into grounded business reports and exportable analysis artifacts.

    Python