Scientific Software Development

Scientific Software Development focused on translating research problems into robust, maintainable, and verifiable computational tools. The service covers the full pipeline: problem formalization, algorithm design, numerical modeling, data processing, simulation frameworks, and deployment-ready codebases.

Work is driven by research-grade standards rather than generic software practices. This includes physics-informed modeling, materials- and process-specific logic, validation against experimental data, reproducibility by design, and transparent assumptions. Typical outputs include simulation tools, analysis pipelines, optimization codes, custom GUIs, and automation of experimental or computational workflows.

The service is particularly suited to scientific and engineering domains where off-the-shelf software fails: additive manufacturing of metals and process modeling. The goal is not prototyping, but durable scientific infrastructure that supports publication, scaling, and long-term research use.