I deliver end-to-end solutions and Service-Oriented Architecture adopting best practices, including loosely coupled design, scalability, elasticity and microservices. I`ve deployed a GenAI service platform using openai APIs, reaching ~300 DAUs, and have experience in applying deep learning algorithms to solving real world problems such as coordination mapping inside factory areas and 98% detection of radioisotopes in noise background.
Goal: Replace a legacy insurance policy administration system with a modern low-code platform. The new system addresses key challenges of the ~30 year old legacy system including poor maintainability, slow batch processing, and limited flexibility by introducing a loosely-coupled microservices architecture with JSON data structures, enabling real-time updates and rapid product changes.
Please PM me if you have any concern/ interesting position to share with!
Have no idea how exactly you can implement GenAI into the current systems?