Available for select consulting engagements

Professional Profile

Michael Hayden

Senior Consultant for Product Architecture, AI Integration, and Delivery Execution

Michael Hayden partners with organizations that need more than isolated feature development. He leads software initiatives from strategy through production delivery, combining full-stack architecture discipline with practical execution across web platforms, geospatial systems, and AI-enabled workflows.

10+
Years building production software
25+
Systems delivered to production
5
Industries served end to end
Concept → Deploy
Ownership across the lifecycle

Why Work With Michael

Engagements are scoped around outcomes, not hours. You get a senior technical partner who owns the hard architectural decisions, keeps delivery moving, and translates tradeoffs into language every stakeholder can act on.

Track Record

Professional Experience

How Engagements Work

A Predictable Path from Idea to Production

Specializations

Consulting Focus Areas

Full-Stack Platform Architecture

Designing coherent frontend, API, data, and infrastructure systems that can evolve with product growth.

AI Workflow Integration

Implementing pragmatic AI capabilities with guardrails, observability, and measurable business outcomes.

Geospatial Intelligence Products

Building location-driven applications and analytics pipelines for field operations and decision support.

Delivery and DevOps Reliability

Establishing deployment architecture, quality gates, and operational practices for stable production releases.

Domain Experience

Industries Served

  • Financial operations and compliance workflows
  • Geospatial intelligence and field technology
  • AI-enabled productivity and knowledge systems
  • Vertical SaaS products for service businesses
  • Enterprise internal tools and process automation

What You Can Delegate

Technical Leadership Capabilities

  • Architecting systems that align product goals with engineering constraints.
  • Defining implementation plans that reduce risk while maintaining delivery momentum.
  • Guiding teams on API design, data modeling, and code quality standards.
  • Introducing production-readiness practices for deployment, monitoring, and incident response.
  • Communicating technical tradeoffs clearly to both business and engineering stakeholders.

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