Cloud & Infrastructure
AWS architecture, CI/CD, observability, MLOps, token budgets, fallback paths, and cost controls for AI systems that need to survive production.
Production work with measurable outcomes.
Cost dashboards, eval harnesses, and rollback paths that keep AI systems predictable under load.
See the Phobia case study →Built for the teams who feel this problem first.
Need senior infra without hiring a senior infra hire.
Want cloud foundations that don't collapse at scale.
Need security posture audited and fixed.
Related field notes and proof.
Putting a cost ceiling on your AI before the bill puts one on you.
Per-tenant cost dashboards, token budgets, model fallbacks, and the small infra tweaks that knocked our average client's inference bill down 47%.
RAG without regret: a production checklist.
Twelve concrete checks before you ship retrieval-augmented generation to real users. Chunking, reranking, citation enforcement, and the eval harness that keeps it honest.
AI Lead-Gen & Automation for FinTech
Lead-generation bots, qualification flows, CRM automation, and compliance-aware AI systems for FinTech teams selling into complex markets.