Projects · Current focus · Ecosystem · Research output · Standards · Collaboration

Independent researcher and systems engineer at the Anulum Institute in Switzerland. I build evidence-governed infrastructure for AI systems, multi-agent engineering, scientific computing, neuromorphic hardware, quantum simulation, and control: mathematical models carried through reproducible software, native acceleration, formal models, and executable hardware paths. Claims are only as good as the measurements, artefacts, or verification that support them.

Projects for the software and its evidence · Papers for every publication and software archive with BibTeX · Contact for a technical proposal. Cold readers: anulum.li/start/ picks an entry point by profile. Every registered project, filterable by group, reactor family and evidence, with a clickable map: anulum.li/portfolio/.

Each card links to inspectable artefacts, not summary claims. Evidence links are pinned to the commit they were verified at. Release and CI badges report registry and workflow state; they are operational signals, not scientific-quality scores.

Synapse Channel · Usable now Control plane for coding-agent fleets: claims, roles, durable mailboxes, receipts, audit, and federation. Documentation · Validation · Coordination specification · Threat model	Director-AI · Research active Real-time LLM guardrail: NLI/RAG grounding, claim review, native acceleration, optional claim-level streaming halt, declared capability boundaries. Documentation · Validation · Public benchmarks · Capability matrix
Rigor Foundry · Usable now Evidence-bound repository inventory, audit candidates, review binding, and remediation planning. Documentation	Remanentia · Usable now Auditable memory for AI agents and knowledge systems: hybrid retrieval, graphs, consolidation, CLI, MCP, and API surfaces. Documentation
SC-NeuroCore · Research active Stochastic and neuromorphic framework: Python models, Rust SIMD paths, Verilog RTL, HDC/VSA, compiler surfaces, and hardware evidence. Documentation · Validation · Synthesis results · Traceability matrix	SCPN Fusion Core · SCPN Control · Research active Tokamak physics, solvers, and validation campaigns with real-data paths (Fusion Core); control-grade runtime with fail-closed admission and replay evidence (Control). Validation · DIII-D validation record · Software DOI
SCPN Quantum Control · Experimental Evidence-governed quantum simulation of coupled-oscillator synchronisation: preregistration, hardware result packs, raw counts, and explicit non-advantage boundaries. Preregistration · Result-pack contract · Software DOI	SCPN Phase Orchestrator · Research active Evidence-first synchronisation analysis and review-only control proposals for coupled rhythmic systems; matched-false-alarm evaluation, negative results, and bounded transfer claims. Submission index · Negative-result preprint · Grid regime-map preprint

_{Portfolio state verified 2026-09-14.}

_{Rendered from anulum.li/news (the projects' CHANGELOG files) and Zenodo on 2026-09-14.}

_{Rendered from anulum.li/news (the projects' CHANGELOG files) and Zenodo on 2026-09-14.}

Timeline entries distinguish registry facts from self-published chronology. They do not imply academic affiliation, external validation, funding, or awards.

flowchart LR
    A["01 · Inspect<br/>Rigor Foundry"] --> B["02 · Guard<br/>Director-AI"] --> C["03 · Coordinate<br/>Synapse Channel"] --> D["04 · Compute<br/>SC-NeuroCore · SCPN"]

Research, validation, and product readiness remain separate. Active development is not a readiness claim.

The map contains 39 portfolio repositories: 33 public repositories and six private product surfaces. HushLine is a standalone public utility outside the five portfolios. Connections represent contract, integration, evidence, and audit flow. They do not merge ownership or imply scientific validation, operational readiness, or actuation authority. The interactive version of this map, with every registered project as a row that filters by group, reactor family, visibility, lifecycle and evidence, is anulum.li/portfolio/; each portfolio below links to its own view of it. Counts verified 2026-09-14. The account lists more public repositories than the map: the 34 mapped public projects plus this profile repository and a few forks kept for reference.

Access key: PUBLIC · PUBLIC / ARCHITECTURE-ONLY · PRIVATE · PRIVATE / PROPRIETARY

The verified PyPI profile currently contains 19 published projects. They include public Python packages, Rust-accelerated engines, domain kernels, and command-line tools.

Primary implementation

Practices are applied according to each repository's risk and scope. Not every repository runs every tool.

Negative and null results are published when they are real. Public claims stay tied to measurements, preregistered protocols, raw packs, source-bound reviews, or executable verification.

Example: SCPN Quantum Control publishes preregistered protocols and hash-bound result packs rather than converting experimental activity into a readiness or advantage claim.

• Evidence before claims.
• Reproducible artefacts before presentation.
• Clear boundaries between research, validation, and product readiness.
• Cross-language implementations where performance or hardware integration justifies them.
• Fail closed when provenance, authority, or evidence is incomplete.
• Negative results and failure records remain part of the research output.

I welcome technically grounded collaboration in reliable AI infrastructure, multi-agent systems, neuromorphic computing, scientific software, formal verification, quantum simulation, plasma physics, and control.

Engagements are taken selectively. The public GitHub profile currently marks the account as hireable; this is not a guarantee of immediate capacity.

A useful first message includes the problem, constraints, relevant prior art, and what evidence would count as success. Contact me through protoscience@anulum.li or anulum.li.

I respond to technical proposals. I do not take on ungrounded hype work, demo-only science theatre, or claims that cannot be checked.

For sustained open work, GitHub Sponsors funds CI runners, compute, hardware and quantum experiment time, and public documentation rather than marketing.

Transparency: These repositories span research software, developer tools, private systems, and product candidates. Active development does not imply production readiness or scientific validation unless a project provides explicit evidence.

I AM THAT