Sparkybit

Sparkybit collaborated with ShowCode, a tech community platform, to modernize and integrate a complex legacy web application into a new platform. The team of ten, including front and back-end developers, architects, and project managers, ensured the stability of the .NET and Angular-based application and developed a new community application platform with a React-based UI. They also utilized modern .NET APIs and document-based databases, adhering to strong DevOps principles and cloud-native approaches. The project was completed successfully within the stipulated time and budget, leading to highly satisfactory results.

In another project, Sparkybit partnered with a pensions data company to update their legacy software to meet new regulatory requirements. The team, ranging from 13 to 19 members, included front and back-end developers, QA, a designer, a solution architect, and a delivery manager. They used .NET and AWS Cloud technologies to modernize the software and develop a new cloud-based platform from scratch, which included data migration and transformation. The project met key milestones, and clients began using the product, resulting in a successful outcome.

Lastly, Sparkybit was hired by an AI & ML development company for professional sports to strengthen their ML development teams. A team of six, including a Machine Learning Tech Lead, three Machine Learning Engineers, a Frontend developer, and a Transcriber, was involved in several projects. They developed and trained algorithms for image, speech, object, and motion recognition, which were used for video analytics. Sparkybit's solutions helped the client's teams make data-driven decisions, leading to improvements in sports events. The collaboration was successful, with Sparkybit demonstrating a high level of expertise and performance.