Fourtix
Practice

Engineering Foundation

Data pipelines, MLOps, CI/CD, and serverless re-architectures. Layered systems built to last.

Why Fourtix

Resilient infrastructure, automated MLOps, and long-term maintainability.

Data pipelines, MLOps, CI/CD, serverless re-architectures, layered systems built to last.

engineering/pipeline
live
retrieve · grounded on domain docs
plan · agent steps resolved
gate · human review required
ship · deployed + observable
Capabilities

What we actually build here.

Apache Airflow + Docker (containerized ETL)
CI/CD for ML (GitHub Actions, AWS CodePipeline)
MLflow experiment tracking
Automated model selection & tuning
Serverless re-architecture (Edge, Vercel, Lambda)
Layered software architecture
Queue-based scaling (BullMQ + Redis)
Production deployment (AWS, Railway, Supabase)
Where it pays back

The business case, not just the tech.

Cost reduction

Right-sized infrastructure; serverless migrations cut recurring infra cost.

Revenue growth

Faster feature-to-production cycles unlock more shipping per quarter.

Time saved

Automated CI/CD removes manual deploys; reproducible ML training removes the refresh tax.

Risk & compliance

Experiment tracking, rollback paths, layered architecture for audit defensibility.

Also building
End-to-End ML Pipeline (R² 0.88)Automated Weather ETL Pipeline

Let's build something that ships.

You'll talk to a founder, not a sales rep. Tell us what you're building and we'll tell you how we'd ship it.