Problems you solve
Revenue-critical systems need someone who thinks like an architect, not a coder.
Data is messy
Systems don't talk. CRMs, payments, and internal tools are siloed. You spend more time fixing than building.
Automations break
Webhooks fail, retries don't exist, and no one knows why. When it breaks at 2am, you're the one fixing it.
Scaling costs explode
Serverless should scale down too. Poor architecture means bills that grow faster than revenue.
AI without infrastructure
LLMs and agents are useless if they can't read your data, trigger workflows, or run reliably in production.
Systems we build
Infrastructure that automates operations, processes data, and scales your product reliably.
- Scalable backend systems (Firebase, GCP, AWS)
- Real-time data pipelines and sync
- Event-driven architecture (pub/sub, queues)
- Secure payment and auth flows
- AI-powered automation in production
- Webhook processing and API orchestration
Tech stack authority
FirebaseFirestoreGoogle CloudStripeEvent-drivenServerlessReal-timeAI / LLM
Case studies
Systems thinking, not logos. See how we design for scale and reliability.