Work With Ivan
Complex scientific, mathematical and technical problems — from diagnosis and formal structure to architecture and executable validation.
Ivan Pasev works with research groups, engineering teams, and institutional founders on high-integrity problems spanning foundational theory, mathematical modeling, cybernetic system design, AI runtime governance, and deterministic execution software.
1. Engagement Continuity Lifecycle
Every engagement follows a strictly calibrated continuity lifecycle to prevent premature implementation, ungrounded assumptions, and architectural drift:
Visualizes the structured 5-stage engagement continuity lifecycle from diagnosis and formal structure to cybernetic architecture, executable realization, and bounded continuation.
2. Problem Router
Select your problem domain to view relevant canonical authorities, appropriate engagement formats, and direct continuation actions:
Scientific & Quantum Regimes
Relational state formulations, metric-measure Dirichlet forms, multiscale field theories, or atomic comparators.
Mathematical & Formal Systems
Axiomatic invariant governance, operator closures, theorem targets, or Lean 4 machine-verification campaigns.
Cybernetics & Governance
Actor-state-rule-flow systems, immutable state witnessing, authority gating, and institutional risk isolation.
System Architecture & Platforms
High-throughput distributed systems, sovereign multi-tenant platforms, cloud resiliency, and decoupled enterprise runtimes.
AI Orchestration & Agent Control
Policy-gated agent orchestration, deterministic execution boundaries, human authorization gates, and receipt logging.
Executable Prototypes
Translating abstract specifications and invariant rules into deterministic, testable, and locally executable software.
Research Programs & Alliances
Multi-horizon research initiatives, institutional partnerships, open science oversight, and research data governance.
Not Sure / Interdisciplinary
Complex challenges that do not fit neatly into a single discipline, requiring initial scoping and epistemic tiering.
3. Engagement Formats
Engagements are structured into bounded formats designed to deliver clarity and concrete artifacts rather than open-ended consulting:
Format 1: Diagnostic Brief
- Scope: Rapid, high-density analysis of a technical question, architecture, or failure domain.
- Output: A standalone Diagnostic Brief detailing state boundaries, hidden assumptions, failure vectors, and recommended next actions.
- Typical Timeline: 3–5 working days.
Format 2: Research & Model Dossier
- Scope: Deep theoretical and mathematical investigation of a relational physics, thermodynamic, or algorithmic problem.
- Output: Comprehensive technical dossier including formal definitions, invariant equations, comparison with consensus baselines, and boundary risks.
- Typical Timeline: 2–4 weeks.
Format 3: Cybernetic Architecture Dossier
- Scope: End-to-end blueprinting of complex software, platform, or multi-stakeholder governance systems.
- Output: Detailed architectural specifications, actor-state-rule flow diagrams, failure isolation maps, and schema definitions.
- Typical Timeline: 3–6 weeks.
Format 4: Formalization Dossier
- Scope: Translation of informal mathematical concepts into machine-verifiable definitions and proof targets (e.g. Lean 4).
- Output: Typed axiomatic definitions, proof obligations, lemma dependency graphs, and initial formalization scripts.
- Typical Timeline: 4–8 weeks.
Format 5: Executable Prototype
- Scope: Construction of a bounded, deterministic reference implementation or testbed validating architectural feasibility.
- Output: Clean source code repository, local test suite, reproduction documentation, and verifiable execution receipt.
- Typical Timeline: Bounded sprint.
4. Trust Mechanism & Bounded Outcomes
The correct outcome of a diagnosis is not always a larger engagement.
We operate with strict epistemic discipline. A diagnostic inquiry or preliminary review may legitimately conclude that:
- No coding is justified yet: The mathematical or structural foundations must be clarified first.
- Additional evidence is required: Hypotheses are ungrounded and require empirical data before architecture begins.
- Another specialist is more appropriate: The problem falls into specialized domain areas outside our focus.
- Collaboration is more appropriate than consulting: Mutual scientific alignment benefits from an open research alliance rather than a commercial engagement.
- A bounded prototype is justified: The problem is well-specified, invariants are proven, and execution is warranted.
5. Direct Action
Ready to discuss a specific problem or explore a collaboration?