Projects using Neo4j in Głogów MałopolskiProjects using Neo4j in Głogów Małopolski
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Cover image for RAMP-SENTINEL is a Tier-0 Compliance
RAMP-SENTINEL is a Tier-0 Compliance Architecture designed for the FinTech and Crypto sectors. This document is a redacted portfolio version of the Master Blueprint, showcasing an autonomous Level-2 Anti-Money Laundering (AML) investigator swarm. The primary achievement of this architecture is the elimination of the "Black-Box" liability. It replaces opaque machine learning risk scores with a transparent, deterministic graph traversal trail. By mechanically linking fiat ledgers with on-chain cryptographic data, the system drafts mathematically verified Suspicious Activity Reports (SAR) that meet the strict requirements of financial regulators (FCA, SEC, KNF). [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for NEXUS-FORGE is a proprietary Tier-0
NEXUS-FORGE is a proprietary Tier-0 architecture designed for global supply chains operating on enterprise-grade ERP systems (SAP/Oracle). This document is a redacted portfolio version of the Master Blueprint, which eliminates the risk of "Stochastic Deadlock" and API Exhaustion by implementing an Asynchronous Sidecar pattern. The primary achievement of this architecture is the transformation of unpredictable AI forecasts into a deterministic "Digital Twin" model powered by a Neo4j Knowledge Graph. This enables the prediction of cascading failures and the calculation of a logistical "Blast Radius" with mathematical precision, completely isolating core operational databases from probabilistic AI models. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for LEX-SENTINEL is an advanced legal
LEX-SENTINEL is an advanced legal engineering architecture designed for high-stakes Mergers & Acquisitions (M&A). This document is a redacted portfolio version of the Master Blueprint, showcasing how to eliminate the severe legal liabilities (such as "Frankenstein Clauses") generated by probabilistic Naive RAG systems. The primary achievement of this architecture is the deployment of a Spatial Knowledge Graph. Instead of destroying document structure through standard OCR, the system maps exact (X, Y) coordinates of legal PDFs. It guarantees a 100% verifiable, Zero-Paraphrase policy, compressing cross-document liability analysis from weeks to sub-minute, mechanically verifiable audits. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for GNOSTIC-FORGE is a Zero-Trust Code
GNOSTIC-FORGE is a Zero-Trust Code Forensic Engine designed for secure, air-gapped enterprise environments. This document is a redacted portfolio version of the Master Blueprint, demonstrating how to mitigate severe architectural debt (the "Spaghetti Cloud") without risking Intellectual Property leakage. The primary achievement of this architecture is the absolute elimination of IP exposure (Zero IP Leakage) by integrating local, secure LLMs with Abstract Syntax Tree (AST) parsing and Graph Databases. The system automates architectural governance by mechanically blocking Pull Requests that violate undocumented cross-file dependencies, compressing impact analysis time from days to parallel swarm execution. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for CYBER-AEGIS is a proprietary Tier-0
CYBER-AEGIS is a proprietary Tier-0 architecture designed for Enterprise Security Operations Centers (SOC). This document is a redacted portfolio version of the Master Blueprint, showcasing an autonomous SOC Swarm engineered to eliminate Alert Fatigue and probabilistic hallucinations. The primary achievement of this architecture is the mechanical grounding of SIEM logs within a Zero-Trust Knowledge Graph (Neo4j). By utilizing OCSF normalization and a LangGraph Swarm, the system compresses the Mean Time To Detect (MTTD) for complex threats from days to sub-minute resolution, algorithmically rejecting over 90% of false-positive noise before human escalation. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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