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Clarity

Stephanie Kubik

Denver, CO

M.S. Engineering, Stanford. Dual B.S. Mechanical & Aeronautical Engineering, RPI.

20+ years of engineering experience spanning DOE defense programs, aerospace, automotive, and enterprise software.

Currently Founder of InfoSight Solutions, providing fractional data architecture and strategic infrastructure advisory.
I've designed and built production cloud platforms on AWS, data governance frameworks for regulated industries, and compliance automation systems. I lead platform engineering teams and have hired, evaluated, and structured technical organizations from the ground up.

Before software, I spent a decade in thermal engineering: liquid cooling systems for military powertrains and electric vehicles, thermal analysis for electronic enclosures and server racks, and heat exchanger optimization. That background means I approach software architecture the way a systems engineer does: constraints first, then design

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Cloud Architecture and Data Platform Strategy for Startups and Scaling Teams"

I help founders and engineering leaders design data platforms and cloud infrastructure that won't need to be torn down in 18 months. 20+ years of engineering experience, M.S. from Stanford. I work primarily in AWS (Terraform, Lambda, Bedrock, API Gateway) and can help you evaluate build vs. buy decisions, plan your first compliance-ready architecture, or figure out when you actually need to hire a platform engineer.

Compliance Readiness for Startups Facing SOC 2, HIPAA, or NIST Requirements

When an enterprise customer or investor asks if you're compliant and you don't know where to start, that's where I help. I've built compliance automation systems and data governance frameworks across HIPAA, SOC 2, NIST 800-53, and ISO 27001. I can help you understand what's actually required vs. what vendors are trying to sell you, scope a realistic compliance roadmap, and avoid over-engineering it.

AI/ML Infrastructure Decisions: When to Build, What to Use, How to Start

I build AI infrastructure on AWS Bedrock, including RAG systems, knowledge bases, and agent architectures. If you're a founder trying to figure out whether you need a custom model or an API call, how to structure your data for retrieval, or how to build an AI feature without hiring a full ML team, I can save you months of wrong turns.

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Member since May 2026