About SmartFoundry

Small by design. Precise by nature.

A boutique platform engineering firm built on deep expertise in Generative AI, cloud architecture, and MLOps — bringing enterprise-grade discipline to focused engagements.

Our team

The people behind the platform.

Founder & Chief Architect

Daniel

AI Platform Engineering · GenAI · Cloud Architecture · Databricks · AWS

With 15+ years in enterprise platform engineering, Daniel specializes in Generative AI systems, cloud architecture, and data platform design. He has led the architecture and delivery of enterprise GenAI platforms enabling RAG-based applications at scale — leveraging AWS Bedrock, retrieval pipelines, embeddings, and AI governance frameworks. He has architected Databricks-based data platforms with scalable ingestion and transformation layers using Delta Lake and Apache Spark to power downstream ML pipelines. Across engagements he has designed cloud-native AWS architectures — including EKS, serverless, and multi-account platforms — focused on cost optimization, security, and operational excellence. Daniel holds a Databricks Certified Data Engineer certification and an AWS Certified Generative AI Developer — Professional certification.

Full Stack Engineer

Matthew

Full Stack Engineer · Cloud Infrastructure · DevSecOps

A skilled platform engineer and web designer focused on cloud-native infrastructure, CI/CD automation, and secure DevOps delivery. Beyond crafting intuitive digital experiences, he brings hands-on expertise with Kubernetes, Terraform, and AWS to every engagement — ensuring SmartFoundry clients receive reliable, well-governed, and production-ready platform solutions. When he's not architecting cloud environments or designing web interfaces, he stays sharp through his passion for competitive Esports, applying the same analytical precision and high-level strategy required in the tech world.

What drives us

Principles that shape our work.

AI-First Thinking

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We design platforms where AI is a first-class concern — from RAG architectures and vector search to governance guardrails and responsible AI patterns.

Engineering Rigor

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Backed by 15+ years of enterprise delivery, we bring the discipline of large-scale cloud and data platform engineering to every project — no matter the size.

Outcome Focused

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We align platform capabilities to business outcomes — reducing cost, accelerating delivery, and enabling teams to build intelligent applications with confidence.

Get in touch

Ready to build something smart?

Whether you need a GenAI platform, a Databricks data foundation, or end-to-end DevSecOps automation — we bring the expertise to make it real.

Get in touch →