Agentic AI engineer building applied AI products for real-world workflows.
I’m Michael Fabing — an agentic AI engineer and fractional CTO building agentic AI applications, intelligent workflow products, AI assistants, premium SaaS systems, and backend platforms powered by PHP, MySQL, and PostgreSQL.
What I focus on now
- AI products grounded in practical workflows
- Bridge between business need and implementation
- Scalable backend delivery in PHP/MySQL/PostgreSQL
Applied AI, not AI theater
My work is centered on building AI products people actually use: systems that reduce manual work, support better decisions, and create leverage inside real businesses.
Healthcare workflow automation
AI-enabled scheduling and operational tools that help healthcare teams reduce manual coordination and make faster decisions.
Product and system architecture
Clear technical foundations for AI products, connecting business goals with scalable backend design and practical implementation.
Startup roadmap execution
Pragmatic AI product planning that helps founders prioritize what to build, validate, and ship next.
How I help as an agentic AI engineer
I’m most useful when you need someone who can shape the product, architect the system, and still get deep into implementation.
Agentic AI architecture
Technical foundation for agentic AI products from workflows and data structures to user-facing behavior.
Hands-on delivery
Web apps, APIs, integrations, and robust backend architecture in PHP with MySQL/PostgreSQL data modeling.
Fractional CTO leadership
Roadmapping, hiring, prioritization, and product-engineering alignment for fast-moving teams.
Backend Expertise
Backend systems that stay maintainable under real product pressure: clean APIs, reliable data models, and pragmatic architecture.
PHP backend engineering
Production-focused services, domain boundaries, integrations, auth, validation, and observability.
MySQL/PostgreSQL data design
Relational modeling, indexing, migration strategy, and performance tuning from MVP through scale-up.
AI-ready architecture
Orchestration, async jobs, retrieval layers, and API composition for AI-enabled SaaS systems.
Featured AI applications
A selected set of AI products showing range, execution quality, and commercial relevance.
RealUseAI.com
Agentic AI workspace for rapidly designing, iterating, and deploying AI-powered applications—combining prompt workflows, data connections, and product-focused templates into a single, practical environment.
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Shiftly.cloud
AI-driven scheduling and workforce optimization platform for hospitals and healthcare facilities, helping nursing and medical teams reduce manual planning, fill shifts faster, and maintain safer staffing coverage.
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Cymbiose.ai
AI assistant for therapists that streamlines documentation, session notes, and follow-up tasks while supporting clinical workflows with structured templates, smart suggestions, and privacy-conscious design.
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Curestatus.ai
AI-native medical intelligence platform that helps clinicians, researchers, and health teams quickly search, synthesize, and explore complex medical knowledge with structured summaries and contextual recommendations.
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Yupay.co
Peruvian digital satire platform delivering parody headlines, social commentary, and humor-driven storytelling that transforms current events into engaging, shareable content for Spanish-speaking audiences.
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crypto.dwealth.news
100% AI-automated platform delivering real-time news, insights, and reporting on the crypto market with no manual editorial workflow.
Visit appWhy teams hire me as an agentic AI engineer
Agentic systems mindset
Tasks, tools, workflows, context, orchestration, and outcomes.
Product-first execution
Not just output quality — product usability, fit, and adoption.
Built for production
Reliability, integrations, security, and maintainability from day one.
About Michael Fabing, agentic AI engineer
I’ve spent 20+ years building software across startups, product teams, infrastructure-heavy environments, and international businesses. Today my center of gravity is agentic AI engineering and applied backend execution.
The interesting part of AI is not just what a model can generate. It’s whether you can turn that capability into a dependable product people actually want to keep using.
Need an agentic AI engineer for your product?
If you need senior help shaping the product, designing the platform, or turning an agentic AI concept into a working application, let’s talk.