Cloud-Native Backend & MLOps in United States
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Delivered to United States teams on your calendar.
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. US founders and operators move fast and expect production-grade work. We lock scope and price before code, commit a ship window, and deliver against a metric — replacing agency hour-clocks and stalled internal projects.
Your backend can't keep up, or your models work in a notebook but never make it to production reliably. There's no path from experiment to deployed and monitored.
- 01Architect services and the ML lifecycle around real load and SLAs.
- 02Prototype deployment and monitoring before scaling.
- 03Forge microservices, pipelines, and IaC.
- 04Harden with A/B deployment, drift monitoring, and retraining.
- Microservices (Go, Rust, Node.js, .NET)
- Serverless & container orchestration (K8s, Nomad)
- CI/CD (GitHub Actions, GitLab CI, ArgoCD)
- MLOps: deployment, A/B, monitoring, drift
- Data engineering (feature stores, ETL)
- Infrastructure as Code (Terraform, Pulumi)
- Real-time event streaming
- Event-driven architecture
What you can expect
Questions, answered straight
Yes. Aligned to ET / CT / PT working hours. From SaaS MVPs to enterprise modernization — senior engineering aligned to US time zones and shipped on your calendar.