Software architecture
Modern .NET architecture, legacy modernization, separation of concerns, dependency injection, maintainability, and testable design.
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Senior Software Engineer and Software Architect working across .NET, SQL Server, AI integration, semantic search, modernization, and source-governed AI memory systems.
Michael brings more than two decades of experience turning complex business rules, legacy systems, and new AI-assisted workflows into maintainable production software.
His work spans ASP.NET Core, C#, Web API, Razor Pages, EF Core, ADO.NET, SQL Server, JavaScript and TypeScript, cloud integration, semantic search, automated testing, performance optimization, and technical mentoring. Teleodynamic.com reflects the same practical bias: research ideas should become testable architecture, readable traces, and software that can be maintained.
Modern .NET architecture, legacy modernization, separation of concerns, dependency injection, maintainability, and testable design.
OpenAI API workflows, LM Studio experiments, AI-assisted development, semantic search, automated documentation, and agent handoff patterns.
SQL Server design, stored procedures, EF Core, ADO.NET, indexing, transactions, reporting models, and performance tuning.
Automated testing strategy, refactoring, regression checks, comparison screens, unit-test adoption, and code review practices.
Research-to-implementation planning for resource-bounded learning, semantic glyph interpretation, IOTA-1 boundaries, and audit-ready traces.
AI Memory, LLM Wiki structure, Project Handoff, source routing, long-memory preservation, and public-safe technical documentation.
Michael's independent work connects practical engineering with AI-readable public systems.
A standards and publication site for UAI-1, public exchange records, validator-backed proof workflows, conformance packaging, and AI Memory tooling.
A practical handbook and starter bundle for durable AI-ready knowledge systems with metadata, trust labels, source policy, and agent rules.
A public dogfood site for source-governed AI memory, long-term archive routing, and visible source-system boundaries.
A research hub for Teleodynamic AI, semantic glyph communication, IOTA-1 / ɪ≃1 interpretation, and self-maintaining learning systems.
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