Software Development

AI-Powered Cloud-Native Engineering

We blend large-language-model (LLM) tooling, MLOps pipelines, and container-first architecture to ship secure, scalable apps for federal missions.

cloud_app.js

Copilot-style tooling speeds code reviews and test generation, trimming sprint times by up to 30%.

We build repeatable pipelines (SageMaker, Azure ML, Kubeflow) so models promote from dev → prod safely.

Static analysis + AI threat-detection catch vulnerabilities early; every commit gets an automated security scan.

Custom RAG chatbots put project docs & SOPs at devs' fingertips, cutting onboarding hours.

Self-healing test suites identify flaky tests and auto-retry, boosting pipeline reliability.

Embedded dashboards forecast cloud spend, capacity, and performance before issues surface.

Employ Scrum and Kanban practices for iterative development and continuous improvement.

Foster collaboration between development and operations teams to streamline software delivery.

Implement strategies to optimize cloud resource usage and reduce operational costs.

Utilize serverless architectures for improved scalability and reduced infrastructure overhead.