AI product engineeringEnd-to-end
Secure multi-tenant AI document review
A full-stack platform that turns OCR and model output into an inspectable review workflow instead of a black-box answer.
Selected work
Decisions, constraints, and evidence.
A curated library of systems our team has designed, delivered, or materially changed. Private work is anonymized. Commercial claims stay limited to what the evidence supports.
01
Production AI systems
Move one valuable AI use case from prototype to a measured, integrated product workflow.
AI systems architectureMulti-agent
State-aware AI orchestration across enterprise data
A conversational architecture coordinating memory, attachments, retrieval, specialist tools, and synthesis.
02
Workflow and revenue automation
Replace fragmented tools and manual handoffs with one reliable operating flow.
Revenue operations5 days
One tested system from lead capture to customer access
Reframed a landing-page brief as the four connected systems it actually required: acquisition, payment, delivery, and operations.
03
End-to-end product engineering
Take a product from an ambiguous brief to a production web, mobile, backend, or platform system.
Performance and cost75%
Health-data storage redesigned around access patterns
Moved the right sensor payloads out of the primary database while preserving the product workflows that depended on them.
Product architectureC-level
A durable editor path for an AI-enabled collaborative product
Challenged a risky implementation direction with a roadmap, estimates, prototype, and an executive decision package.
Developer infrastructurePer PR
Portable database isolation for every preview deployment
A schema-per-branch workflow that gives each pull request isolated Postgres state without vendor lock-in.
Start with the problem
Bring the difficult product problem.
We’ll help find the right path—mobile, web, backend, data, AI, optimization, rescue work, or a smaller decision before any of those.