Complex Systems & Simulation
My work focuses on software systems that must remain understandable, evolvable and verifiable despite domain complexity, distributed execution and strong integration constraints.
← Portfolio
Architecture Portfolio
Selected work and reflections around software architecture, simulation, model-based engineering and distributed systems.
Focus Areas
Model-Based Engineering
I use model-based approaches to connect requirements, architecture decisions and implementation constraints, with a focus on traceability and automation.
Software Architecture
I focus on architecture as a decision-making discipline: framing trade-offs, documenting constraints, aligning teams and making systems easier to reason about.
Distributed Systems
I am interested in distributed architectures where boundaries, contracts, orchestration, observability and failure modes are first-class design concerns.
Selected Articles
Strategic Architecture Decisions: Building Mesh-Sync Between Research, SaaS, and Marketplaces
How Mesh-Sync uses BYOS, MeshPack, workers, traceability, generated contracts, and observability to keep product learning cheap.
Read article →DDD as an Anti-Hallucination Architecture: Guardrails for Agentic AI in MeshSync
How the MeshSync Java backend uses DDD, CQRS, hexagonal boundaries, architecture tests, typed contracts, and domain gates to keep AI-assisted implementation clean and reviewable.
Read article →From Pipelines to Contracts: Scaling 15+ Workers Without Losing System Coherence
A practical architecture guide to contract-first worker platforms, based on Mesh-Sync's BullMQ orchestration, generated clients, modular pipelines, and validation discipline.
Read article →Model-Based Systems Engineering: Pipeline Orchestration for Distributed Systems
How MBSE principles translate into YAML-driven DAG orchestration — dependency resolution, stage execution, validation layers, and observable infrastructure in production.
Read article →C4 Modelling for Complex Distributed Systems
Applying C4 model diagrams to a real distributed platform — from system context down to code-level detail, with practical examples and living documentation strategies.
Read article →Integrating AI Workflows with Guardrails in DDD/Hexagonal Architecture and CQRS
How to embed LLM-powered agents into enterprise-grade architecture without losing control — ports and adapters, domain events, budget caps, state machines, and observable AI in production.
Read article →Selected Projects
Mesh-Sync
Mesh-Sync explores how complex 3D asset collections can be synchronized, normalized and reasoned about across heterogeneous storage systems.
The architectural problem is to keep storage, processing and marketplace-oriented workflows explicit without collapsing them into one opaque platform.
It demonstrates an interest in traceability, contract boundaries and evolvable platform design.
View project →MIDAS
MIDAS explores how software engineering workflows can be orchestrated with stronger traceability, review gates and human control.
The architectural problem is to coordinate tool-driven work without losing reviewability or decision ownership.
It demonstrates a preference for explicit workflow control over opaque automation.
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