Research code breaks when it leaves the notebook. We build production-grade software, including web applications, APIs, data tools, and automated pipelines, that your team or your users can actually rely on.
What We Do
- Python application development
- Web application architecture (Backend-for-Frontend, REST APIs)
- PySpark ML pipelines (RandomForest, VectorAssembler, distributed processing)
- Docker containerization and CI/CD pipelines
- Database design and integration
- GitHub/version control setup and workflow design
- Code review and refactoring of research codebases
For projects requiring frontend UI or UX design, we partner with vetted design specialists to deliver a complete solution.
Deliverables
- Production-ready application with documentation and test suite
- Containerized deployment (Docker/Docker Compose) with CI/CD configuration
- API documentation (OpenAPI/Swagger)
- Codebase with version control, branching strategy, and contribution guidelines
- Handoff documentation for your development team
Need research code turned into reliable software? Let’s talk.
