InferenceStack is the independent portfolio and consultancy of Matt Vegas. I design and deploy full-stack AI systems—from infrastructure to interface.
“I don't just build AI systems — I architect outcomes.”
↓ Scroll to download the 57-page AI Engineering Cheatsheet. 🔥|
InferenceStack is the independent portfolio and consultancy of Matt Vegas. I design and deploy full-stack AI systems—from infrastructure to interface.
“I don't just build AI systems — I architect outcomes.”
↓ Scroll to download the 57-page AI Engineering Cheatsheet. 🔥
Who I Am
I’m Matt Vegas — a healthcare technologist and systems engineer building the future of applied intelligence. Through InferenceStack, I architect production-grade AI systems that integrate seamlessly into real-world workflows. I believe the best AI isn't just accurate — it's actionable, ambient, and thoughtfully designed.
What I Do
InferenceStack is a full-stack AI consultancy for enterprise-scale systems. I work with founders, product teams, and IT leaders to design intelligent architectures that ship fast — and scale clean.
Model Strategy & Orchestration
Designing ML workflows that connect models to outcomes. From prompt engineering to API routing and versioning.
Infrastructure & System Design
Helping enterprise teams build scalable data pipelines, cloud-native deployments, and intelligent services.
Workflow AI & UX
Bridging machine intelligence with human-centered design. I build ambient interfaces and systems that feel like intuition.
Fractional CTO / Head of AI
Helping teams move from prototype to platform. Strategic product planning, hiring, and roadmap alignment.
Technical Due Diligence
For VCs, hospitals, and buyers evaluating AI tools or startups — I provide structured audits and vendor evaluations.
Documentation & Enablement
I make systems legible: from API docs and playbooks to internal frameworks that scale across teams.
Consulting Engagements
From AI infrastructure and deployment strategy to end-to-end prototypes and LLM integration, I partner with organizations to deliver applied intelligence with impact.
Starter Engagement
Great for startups or teams who need a technical assessment, architecture roadmap, or fast prototype.
From $2,500
- 1:1 discovery session
- Architecture diagram or prototype
- Follow-up action plan
Fractional AI Engineer
Hands-on engineering support for organizations building production AI infrastructure or LLM apps.
From $6,000/mo
- Weekly sprints
- Infra + app deployment
- Slack async support
Enterprise Advisory
Strategic AI advising for digital health, R&D, or enterprise AI innovation teams.
Custom
- Bespoke roadmap
- Workshops or reviews
- Access to full Soluna toolkit
Projects
Select work from real-world deployments, prototypes, and experimental labs. These systems were built to deliver value, not just velocity.
ProtoMedica
Ambient AI infrastructure for clinical workflows. Designed and deployed end-to-end from model logic to UX interface.
OutcomeIQ
Outcome intelligence platform that translates raw signals into orchestrated action. Built for health systems & payers.
RadiologyStream (Prototype)
A lightweight PACS extension that auto-surfaces abnormal findings and displays risk-aware sequencing.
Resources
Strategic documents and frameworks I've created while building AI systems at scale. These are here to educate, align, and accelerate.
Care Friction Index™ Framework
Quantifying the UX cost of clinical interfaces. PDF download includes metrics, scoring model, and EHR UX playbook.
OutcomeIQ Signal Stack Deck
5-layer architectural model for outcomes-based orchestration. Strategic walkthrough of the OutcomeIQ prototype.
Ambient AI Design Guide
Interface and interaction principles for building predictive systems that support—not interrupt—clinical work.
Get The Ultimate AI Engineering Cheatsheet 2025
A 57-page engineering resource created for builders, not theorists. 🔥
This AI Engineering Cheatsheet was created to provide practical guidance for building production-grade AI systems using Large Language Models. It focuses on real-world engineering patterns rather than theoretical machine learning concepts.
Let’s Work Together
I collaborate with founders, product leaders, and innovation teams to turn AI from abstraction into operational advantage. If you’re building something that needs architectural clarity or applied intelligence — let’s talk.
matt.vegas@inference-stack.com