Work that speaks for itself.

The challenge

A fast-growing payments company had a monolithic CI pipeline that took over four hours to complete. Deployments happened once a week, required manual sign-offs from three teams, and frequently caused weekend incidents. Engineers had lost confidence in the release process.

Our solution

We audited the existing pipeline and identified three root causes: redundant test suites, sequential stages that could run in parallel, and a lack of environment parity between staging and production. We rebuilt the pipeline in GitHub Actions with parallelized test shards, Docker layer caching, and automated environment provisioning via Terraform.

The challenge

A B2B SaaS company was running their entire platform on aging bare-metal servers in a co-location facility. The hardware was approaching end-of-life, costs were rising, and the team had no path to scale. They needed to migrate without disrupting their enterprise customers.

Our solution

We ran a 3-month phased migration using a strangler-fig pattern — standing up AWS infrastructure in parallel, migrating services one by one, and using traffic shifting to validate each step before cutting over. We introduced RDS Aurora, ECS Fargate, and CloudFront, and replaced manual server management with Terraform and AWS Systems Manager.

The challenge

A large e-commerce company had a data science team producing strong models in notebooks, but no reliable path to production. Models were deployed manually by engineers, retraining was ad hoc, and there was no monitoring in place. Model drift was causing silent revenue loss.

Our solution

We designed and built an end-to-end MLOps platform on top of their existing AWS stack. This included a feature store using AWS SageMaker Feature Store, automated retraining pipelines triggered by data drift metrics, a model registry with approval workflows, and a real-time monitoring dashboard tracking prediction quality and business KPIs.

The challenge

A healthcare technology company was struggling to balance speed with compliance. Their release process involved weeks of manual testing and documentation to satisfy HIPAA audit requirements. Engineers were spending more time on compliance paperwork than writing code.

Our solution

We redesigned their delivery process to embed compliance into the pipeline rather than bolt it on at the end. This included automated security scanning, policy-as-code with Open Policy Agent, audit-ready deployment logs, and a test automation framework that generated compliance evidence automatically. We also ran a series of workshops to shift the team's mindset from 'compliance as a gate' to 'compliance as a feature'.