Machine Intelligence Engineer / Software Architect | Multi-Agent Systems & LLM Infrastructure

Resume

Machine-intelligence-first two-page resume covering multi-agent systems, persistent AI memory, local LLM/runtime infrastructure, and governed enterprise AI, backed by 20+ years of .NET, Microsoft Azure, SQL Server, TypeScript/Angular, testing, and modernization work.

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Core positioning

Machine Intelligence Engineer / Software Architect with public proof around multi-agent systems, persistent AI memory, and LLM infrastructure.

Positioning proof
03

Enterprise foundation

Microsoft Azure appears in every employment since 2010, paired with .NET, SQL Server, TypeScript/Angular, testing, and modernization.

Role-level evidence
04

Decision handoff

For a hiring-manager pass, open the flagship case study and evidence map; for a recruiter pass, contact Michael directly.

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Professional summary

Two-page resume positioning Michael Kappel as a Machine Intelligence Engineer and Software Architect specializing in multi-agent systems, persistent AI memory, local LLM infrastructure, governed enterprise AI, and the .NET/Azure/SQL engineering foundation behind those systems.

Review boundary

Public two-page baseline; repositioned on 2026-08-17 around public machine-intelligence evidence while preserving formal employment titles and user-confirmed role-level Microsoft Azure evidence. Unsupported or confidential implementation claims remain blocked.

Skills

Machine Intelligence & Multi-Agent Systems

Machine-intelligence infrastructure for cooperating external agents, durable context, scoped work coordination, reviewed memory, recovery, and human-governed enterprise workflows.

  • Multi-Agent Systems
  • Agent Coordination
  • Multi-Agent Transactive Memory (MATM)
  • Persistent AI Memory
  • Registered Agent Identity
  • Scoped Access
  • Project Rooms
  • Current-Message Delivery
  • Hash-Only Edit Claims
  • Bounded Ownership Leases
  • Conflict-Aware Coordination
  • Memory Lifecycle Governance
  • Human Verification
  • UAIX
  • .uai Continuity
  • Project Handoff
  • File Handoff
  • Recovery Workflows

AI Platforms & APIs

LLM integration and developer infrastructure across local runtime components, OpenAI-compatible APIs, retrieval, prompt/output contracts, browser tooling, and evidence-bounded automation.

  • Local LLM Infrastructure
  • GGUF
  • LLaMA-Oriented Runtime Components
  • Tokenization
  • Sampling
  • Tensors
  • Managed CPU Backends
  • Accelerator Backends
  • OpenAI-Compatible APIs
  • LM Studio
  • Azure AI Search
  • Semantic Search
  • RAG
  • Embedding Workflows
  • Prompt Architecture
  • Structured Output
  • AI Developer Tooling
  • AI-Ready Web
  • AEO
  • GEO

Software Architecture & Enterprise Engineering

Production-oriented architecture, integration, modernization, source governance, validation, recovery, and mentoring for long-lived business-critical software.

  • Software Architecture
  • Solution Design
  • Enterprise Architecture
  • Distributed-System Boundaries
  • API Contracts
  • Separation of Concerns
  • SOLID
  • Design Patterns
  • Dependency Injection
  • Legacy Modernization
  • Behavior Preservation
  • Security Boundaries
  • Source Governance
  • Claim Boundaries
  • Human Review Gates
  • Technical Mentoring
  • Code Review

.NET & Backend

Microsoft-platform and backend depth across C#, ASP.NET Core, APIs, data access, runtime libraries, integration seams, and behavior-preserving modernization.

  • C#
  • .NET
  • ASP.NET Core
  • ASP.NET MVC
  • Razor Pages
  • Blazor
  • Web API
  • REST APIs
  • OpenAPI
  • EF Core
  • ADO.NET
  • WCF
  • Background Services
  • NuGet Package Engineering
  • Classic ASP
  • VB.NET
  • Web Forms

Cloud & Data

User-confirmed Microsoft Azure delivery in every employment since 2010 plus SQL-heavy business systems, storage, search, reporting, and transactional data engineering.

  • Microsoft Azure
  • Azure App Service
  • Azure SQL
  • Azure Blob Storage
  • Azure Virtual Machines
  • Azure DevOps
  • Microsoft Foundry
  • Azure AI Search
  • Windows Azure
  • SQL Azure
  • SQL Server
  • T-SQL
  • Stored Procedures
  • Transactions
  • Indexing
  • Recursive CTEs
  • Data Modeling
  • MySQL
  • Power BI
  • DAX
  • AWS

Front End

Typed, accessible web delivery through TypeScript, Angular/RxJS, browser-local tooling, responsive interfaces, and server-rendered or hydrated search-friendly pages.

  • TypeScript
  • JavaScript
  • Angular
  • RxJS
  • Typed DTOs
  • Reactive State
  • SSR
  • SSG
  • Hydration
  • Browser-Local Tools
  • Responsive UI
  • HTML
  • CSS
  • Accessibility
  • XAML
  • QUnit

Testing & Delivery

Automated and human-visible quality controls for software and AI-assisted workflows, from unit/integration tests and parity checks to CI/CD, observability, review, and recovery.

  • Unit Testing
  • Integration Testing
  • Test Automation
  • TDD
  • BDD
  • Gherkin
  • Behavioral Comparison Screens
  • Generated Scenario Tests
  • Parity Validation
  • CI/CD
  • Git
  • Azure DevOps
  • Agile
  • Scrum
  • Observability
  • Recovery Testing
  • Human Review
  • Cross-Functional Translation

Selected machine-intelligence systems

Multi-agent coordination and persistent memory

A source-available, deployable private-intranet reference implementation for coordinating external AI agents through identity, scope, shared context, reviewed memory, messaging, and conflict-aware work ownership.

  • Public source and companion documentation expose registered agent identities, company/workspace/project scopes, memory submit/search, meeting rooms, current messages, acknowledgements, redacted receipts, and human verification.
  • Hash-only file heads, compare-and-swap checks, bounded edit claims, and expiring ownership leases support cooperative simultaneous work on local .uai paths.
  • The implementation supports file, SQLite, and MySQL/MariaDB storage while keeping claims bounded: it coordinates external agents and does not host, execute, or certify them.

AI Memory and handoff architecture

UAIX-style package wizard support, Project Handoff, Agent File Handoff, compact AI handoff memory, Architecture Notes, manifest exports, and receiver startup packets.

  • Added a repository-local .uai package with startup, receiver brief, short-term memory, long-term memory pointer, file handoff, deployment/test report, and export manifests.
  • Moved research Markdown into /docs and mapped those long-memory files from .uai/short-term-memory.uai and .uai/long-term-memory.uai.
  • Kept the public site language clear that memory artifacts are reviewable handoff evidence, not runtime execution.

Intelligence724 applied machine-intelligence capability surface

A public process-first consulting and implementation surface for AI integration, source-code intelligence, governed retrieval, legacy modernization, bounded automation, recovery-aware workflows, and human-reviewed delivery for existing business systems.

  • Intelligence724.com explains applied AI integration for existing systems, Current AI Delivery Experience, bounded agentic automation, legal operations, enterprise knowledge retrieval, and legacy-to-AI modernization at capability level.
  • The relationship is professional-positioning evidence: MikeKappel.com connects Michael Kappel’s enterprise software history and Info724 / Insurance724 experience to current machine-intelligence implementation; Intelligence724 is not treated as a miscellaneous website or a replacement employer record.
  • Claim boundary: Intelligence724 and Info724 share consulting heritage, but every historical Info724 engagement is not automatically an Intelligence724 engagement; confidential clients, private systems, production data, metrics, source code, and proprietary workflows stay undisclosed.

.NET local LLM infrastructure

A verified public NuGet ecosystem covering local LLM runtime contracts, GGUF/LLaMA-oriented components, tensors, tokenization, sampling, managed CPU and accelerator backends, AI memory, interoperability, browser/P2P tooling, governance, and observability.

  • The official Michael.Kappel NuGet profile lists 32 public packages with 21K+ cumulative downloads.
  • The UAIX.LmRuntime family provides a verified managed-CPU path and explicit backend registration and diagnostics; package presence alone is not presented as proof of GPU inference.
  • Public package evidence supports runtime and integration engineering, not foundation-model training, benchmark leadership, or customer adoption claims.

Professional experience

Info724 / Insurance 724

Sr. Software Engineer / Software Architect / Mentor

Feb 2023 - Apr 2026: Full-Time/Primary; May 2026 - Present: Part-Time Client Support | Remote

  • Built custom OpenAI API-backed tooling for analyzing and documenting complete C#, VB.NET, and VB6 dental and insurance software codebases, with source context, structured technical documentation, and human review checkpoints.
  • Architect machine-intelligence and LLM-assisted engineering workflows using OpenAI-compatible APIs and LM Studio APIs, prompt systems, semantic search, and reviewed output for legacy-to-modern code translation, source analysis, documentation, and developer productivity.
  • Built an Angular/TypeScript AI documentation review application for an Info724 client, enabling users to step through AI-generated documentation for existing codebases with source context and quality checkpoints.
  • Deploy and manage embedding models with Microsoft Foundry (formerly Azure AI Foundry), using Azure AI Search for semantic retrieval.
  • Use Azure SQL across development, testing, staging, and production, with Azure Blob Storage and Azure Virtual Machines.
  • Continue part-time Info724 client support with ethical Search Engine Optimization (SEO), Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and AI-ready web guidance that favors accurate, useful, source-backed content over manipulative ranking tactics.
  • Rebuilt a dental insurance contract-management platform using ASP.NET Core, C#, TypeScript, EF Core, Razor Pages, and SQL Server while preserving complex legacy business behavior.
  • Created automated comparison screens, parity checks, and test coverage to validate rebuilt claims-adjudication behavior against the legacy platform before release.
  • Maintain and modernize health-insurance systems built on VB.NET Web Forms, ADO.NET, SQL Server, T-SQL, and MySQL data workflows while preserving existing business behavior.
  • Build AWS-hosted brokerage commission and operational-reporting workflows using SQL Server transactions, MySQL, Power BI models, DAX, and reporting databases.
  • Mentor developers on unit testing, integration testing, SOLID, design patterns, enterprise architecture, maintainable TypeScript/Angular, and code review practices.
  • Use Intelligence724.com as public capability-level context for process-first AI integration, code intelligence, legacy modernization, governed knowledge/retrieval, and bounded automation; confidential Info724 systems remain undisclosed.

C+R Research

Sr. Software Engineer

Apr 2022 - Jan 2023 | Chicago, IL

  • Built Microsoft Teams file-sharing and collaboration workflows in .NET Core and TypeScript using Microsoft Graph API, OAuth-aware access patterns, and enterprise directory constraints.
  • Implemented Azure Blob Storage for checked-in document storage and retrieval, with Azure App Service and Azure SQL supporting development, testing, and staging environments.
  • Integrated Mailjet and Mailgun messaging workflows while delivering responsive TypeScript/CSS user interfaces and dependency-injected backend services.

Xerox IT Solutions (formerly ITsavvy)

.NET Software Engineer

Apr 2020 - Mar 2022 | Addison, IL

  • Introduced Agile practices and Azure DevOps workflows to improve team delivery, visibility, branching discipline, and release confidence; used Azure App Service and Azure SQL for development, testing, and staging.
  • Restructured legacy software for unit testability, dependency injection, and practical automated testing.
  • Guided TypeScript adoption and implemented QUnit-based client-side testing to improve front-end maintainability and quality.

LongTerm Software Solutions, Inc.

Software Engineer / Solutions Architect / Mentor

Nov 2018 - Mar 2020 | Warrenville, IL

  • Used Angular extensively on corporate tax accounting software for tax-accounting workflows while providing architecture and debugging expertise across C#, TypeScript, Angular, RxJS, JavaScript, MVC, ASP.NET Core, Web API, Classic ASP, SQL Server, and legacy integration surfaces.
  • Used Azure App Service and Azure SQL across development, testing, staging, and production, with Azure Blob Storage.
  • Worked with CI/CD pipelines and developed automated integration testing generated from stored procedures to validate thousands of business scenarios before deployment.
  • Designed multithreaded document-upload workflows connecting desktop and web applications through background processing, REST APIs, resilient error handling, and maintainable routing strategies.

Cogent

Senior Software Engineer / Solutions Architect - platform context: VisiShipTMS.com and Transportation Management Technologies

Nov 2015 - Present (Part-Time) | Oak Brook, IL

  • Provide long-term concurrent part-time architecture, modernization, and support for VisiShipTMS.com and related Transportation Management Technologies platforms used in logistics, TMS, and 3PL workflows.
  • Architect, deploy, and support service-oriented Transportation Management Systems covering freight workflows, shipment lifecycle visibility, routing logic, and cross-platform business-rule execution.
  • Use Azure App Service and Azure SQL across development, testing, staging, and production, with Azure Blob Storage.
  • Support configurable integration patterns, custom authorization/security components, SQL Server-backed transactional reliability, and operational logistics workflows.
  • Built interoperable desktop/web workflows using JavaScript, TypeScript, RESTful ASP.NET services, MVC controllers, C# repositories, Microsoft claims-based security, SSO-style patterns, and SQL Server stored procedures while mentoring developers on testability and maintainable design.

TForce Worldwide (formerly RR Donnelley / DLS Worldwide)

Lead Software Engineer / Retooling Mentor

Dec 2013 - Nov 2015 | Bolingbrook, IL

  • Led an Agile Scrum team building enterprise logistics solutions with ASP.NET MVC 5, EF6, design patterns, repository/adapters, dependency injection, and automated unit tests.
  • Used Azure App Service and Azure SQL for development, testing, and staging, with Azure Virtual Machines for demos and presentations.
  • Advanced TDD, BDD/Gherkin-style thinking, peer programming, structured code review policies, and maintainable SOLID architecture.

Motozuma.com / BoostUp.com / Quicken Loans

Enterprise Software Architect / Intern Mentor / CTO

Feb 2012 - Dec 2013 | Naperville, IL

  • Migrated the Motozuma/BoostUp fintech savings platform, in the Quicken Loans context, from VB.NET Web Forms to a multi-tier C# MVC architecture on Windows Azure with SQL Azure.
  • Integrated US Bank and Authorize.Net payment APIs while improving reliability, scalability, testability, and stakeholder-driven delivery.

FIS (formerly SunGard Financial Systems)

Sr. Software Engineer / International Team Lead

Oct 2012 - Apr 2013 | Lombard, IL

  • Built a stock-trading application for banking clients using C#, SQL, XAML/WPF, Prism, Unity Framework, Scrum, and high-performance UI/data patterns.
  • Used Azure App Service and Azure SQL for staging and testing environments.
  • Mentored an international team on automated testing, testable code patterns, technical specifications, and performance-sensitive application behavior.

Cognizant Softvision (formerly Magenic Technologies)

Microsoft Certified Software Consultant

May 2010 - Feb 2012 | Chicago, IL

  • Delivered enterprise systems for equipment issue tracking and employee profile management using AJAX, WCF, layered architecture, and SQL Server stored procedures.
  • Used Azure Blob Storage for image and document storage in client delivery.
  • Collaborated with client teams to build maintainable applications with strong separation of concerns and durable data-access patterns.

Morse Data Corporation

Software Engineer

Nov 2008 - May 2010 | Chicago, IL

  • Developed enterprise management software for merchants, publishers, fulfillment providers, order workflows, e-commerce, inventory, and high-traffic client websites.
  • Modernized a C# codebase from ASP.NET 2.0 to 3.5; improved SQL Server capabilities, caching, DAL patterns, layered models, helper components, and reusable UI elements.

https://unison-ucg.com/ (Formerly UnisonUCG)

Software Consultant

Mar 2007 - Jul 2008 | Chicago, IL

  • Built applications for the City of Chicago and Chicago Airport System using ASP.NET, JavaScript, CSS, HTML, XML, SQL Server, and Oracle.
  • Created database objects including views, triggers, stored procedures, and secure XML-processing workflows while working with sensitive data under DHS airport-clearance constraints.

Consulting & Early Career / AmericanEagle.com

Software Developer / Graphic Editor / HTML Specialist

Apr 1999 - Jul 2008 | Chicago area

  • Delivered e-commerce and data-driven web systems using ASP.NET, Classic ASP, PHP, HTML, MySQL, SQL Server, Visual Basic, template optimization, SEO collaboration, and cross-browser UI production.
  • Built early web applications, reusable dynamic content, navigation, image optimization, and high-performance production HTML.
Multi-agent systems

Review coordination, durable memory, conflict-aware edits, bounded leases, recovery, and human-verification evidence.

Review systems
Persistent AI memory

See the evidence boundary for durable context, active-memory handoffs, scope, and recovery.

Review AI memory
LLM infrastructure

Trace local runtime, .NET package, embedding, semantic-search, and governed integration work.

Review infrastructure
Intelligence724

Public capability-level context for process-first AI integration, source-code intelligence, legacy modernization, governed retrieval, and bounded automation.

Visit Intelligence724
User-confirmed Azure experience

Every employment from 2010 to Present names the Azure services used; Experience carries the complete role-level detail.

Review experience
Evidence links

Connect resume claims to projects, case studies, technical notes, and structured records.

View evidence
Proof question

Use the curated brief when a reviewer or AI system asks what supports the machine-intelligence positioning.

Open proof brief

How to review Michael

Choose the right depth before opening the archive.

Use the resume as the short artifact, then branch only as far as the hiring workflow requires.

30 seconds

Positioning scan

Confirm the headline role, strongest proof answer, and exact claim boundary before reading the broader archive.

2 minutes

Recruiter path

Use the concise resume, current contact path, and role-level experience timeline to qualify fit quickly.

Resume stack and evidence boundaries

Machine-intelligence focus: Multi-agent coordination, persistent AI memory, local GGUF/LLaMA runtime tooling, embeddings, semantic search, OpenAI and LM Studio APIs, Microsoft Foundry, Azure AI Search, governed workflows, validation, recovery, and human-review boundaries.

Enterprise foundation: Microsoft Azure, Azure App Service, Azure SQL, Blob Storage, Virtual Machines, Azure DevOps, .NET, SQL Server, TypeScript/Angular, ASP.NET Core, C#, testing, CI/CD, and modernization remain visible, source-backed signals.

Curated proof: The Machine Intelligence Proof Evidence Brief routes this resume language to implementation evidence, Azure role facts, Architecture Notes, case studies, and report-derived context without treating raw reports as claims.

Boundary: The resume describes a source-available reference implementation and evidence-backed public tooling; it does not imply unsupported model training, benchmark results, adoption, production scale, or confidential client details.

FAQ

Common review questions.

Short answers are rendered in the HTML source and mirrored into JSON-LD where appropriate.

Does the resume show Azure experience at each job?

Yes. Every professional role from Magenic in 2010 through current Info724 and Cogent work includes its user-confirmed Microsoft Azure services or delivery context.

Which resume should recruiters download?

The website default is the clean two-page resume PDF and DOCX. The expanded CV or project appendix is maintained separately and can be provided when needed.

What does the resume emphasize?

The public resume leads with multi-agent systems, persistent AI memory, LLM/runtime infrastructure, governed enterprise AI, and public package evidence, then shows the Microsoft Azure, .NET, SQL, TypeScript, testing, and mentoring foundation.

How is resume-safe content handled?

The public resume uses the cleaned, reviewed professional baseline and excludes unsupported imported material.