Contact / About the Builder
Built by Michael Kappel, an enterprise software architect with 20+ years of production experience.
NeuroWikis is not a generic AI blog. It is part of a larger AI knowledge, agent-routing, and standards ecosystem built by Michael Kappel, a senior software engineer and software architect focused on enterprise .NET, SQL-heavy business systems, TypeScript, practical AI integration, semantic search, LLM workflows, and source-bound review gates.
The goal behind NeuroWikis is the same operating style Michael brings to enterprise software: make complex systems understandable, make the architecture inspectable, keep claims bounded, and give both humans and AI agents a safer path through difficult technical material.
Professional focus
Michael builds and modernizes business-critical software where correctness, maintainability, testing, and domain translation matter. His background centers on production C#, ASP.NET Core, SQL Server, TypeScript, APIs, data-heavy workflows, legacy modernization, semantic search, and AI-assisted engineering systems that stay tied to evidence and review.
Enterprise architecture
Readable, maintainable systems built with separation of concerns, SOLID principles, dependency injection, repository and adapter patterns, service boundaries, and practical refactoring strategy.
Legacy modernization
Experience translating brittle Web Forms, Classic ASP, VB.NET, stored procedures, undocumented rules, and older workflows into testable ASP.NET Core, Web API, TypeScript, and SQL-backed architectures.
SQL-heavy business systems
Deep work with SQL Server, stored procedures, transactions, indexing, recursive CTEs, reporting models, Power BI, data modeling, and business-rule validation.
Practical AI integration
AI-assisted modernization, OpenAI-compatible APIs, local model workflows, semantic search, prompt systems, automated documentation, AI Memory, agent workflows, and source-bound validation.
Testing and review culture
Automated comparison screens, integration testing, unit testing, QUnit, TDD/BDD-style thinking, generated scenario coverage, code review, and zero-regression modernization discipline.
Team enablement
Mentoring developers on SOLID, design patterns, TypeScript, unit testing, architecture, code reviews, Agile practices, maintainable code, and business-rule translation.
Why that matters for NeuroWikis
NeuroWikis exists to make difficult AI infrastructure understandable for humans. The site explains NeuralWikis concepts such as AI identity, cognitive packets, memory firewalls, self-moderation, GraphRAG review, agent safety gates, provenance, compatibility review, rollback, and agent exchange workflows in language that business and technical readers can both use.
That requires more than marketing copy. It requires enterprise architecture thinking: clear boundaries, careful terminology, machine-readable routes, human-readable explanations, and an honest distinction between what is implemented, what is modeled, and what belongs on the roadmap.
Useful for
- Enterprise software architecture and modernization planning
- AI-assisted engineering workflows with review gates
- SQL Server-heavy business applications and reporting systems
- Knowledge-base architecture for humans and AI agents
- Semantic search, RAG preparation, and AI-readable documentation
- Legacy behavior validation and zero-regression migration strategy
- Developer mentoring, testing strategy, and maintainable code standards
- Agent-facing web routes, JSON surfaces, and proof-oriented public systems
Professional profile link
For the full resume, public project map, skills evidence, downloadable resume assets, social links, and contact details, visit MikeKappel.com.