Build the right product. Set the right foundation. Scale without breaking it later.
Core Foundry works with startups and growth-stage companies on MVPs, technical strategy, scalable B2B SaaS architecture, AI workflows, and the operating decisions that shape long-term product velocity.
Hands-on execution with strategic judgment.
I work across product, architecture, and engineering to help companies make strong early decisions and move toward scale with more clarity and less waste.
MVPs to scalable products
Build and launch MVPs that can evolve into reliable, scalable products instead of expensive rewrites.
Technical strategy
Define technical direction that stays aligned with product goals, delivery realities, and business priorities.
B2B SaaS architecture
Architect modular platforms built for integrations, long-term maintainability, and growing teams.
Infrastructure and data decisions
Make foundational choices on infrastructure, data flow, and integrations to support speed and scale.
Engineering velocity and reliability
Establish engineering practices that improve delivery speed without losing reliability or discipline.
AI workflows and agentic systems
Integrate AI workflows and move toward organization-level GPT systems that improve decision loops and execution.
Best suited for companies building in complexity, not simplicity.
- B2B SaaS platforms with operational depth — not just surface features
- Supply chain, logistics, workflow-heavy products — where systems actually matter
- Startups that need senior technical judgment before hiring a full-time CTO — or while growing into one
- Teams that need architecture, prioritization, and delivery discipline at the same time — not in separate lanes
Hands-on without losing the bigger picture.
I bring a product and engineering perspective shaped by building B2B SaaS products, guiding technical strategy, and making foundational decisions that affect scale, speed, and team growth. The work is practical, not performative: fewer buzzwords, stronger systems, better judgment early.