Berat Sulimani

At Endava, I engineered financial trading applications for TP ICAP, pairing React frontends with .NET/C# services and optimizing data visualization with AG Grid. I also introduced AI-assisted engineering practices. For Royal London Asset Management, I developed investment and asset management web solutions, including real-time analytics dashboards and filtering over Snowflake data. For Hudson MX, I architected Angular interfaces and established visual regression testing. At Endava's Global Innovation Lab, I co-built a Generative AI platform that helps clients fix accessibility issues, placing 3rd among 29 teams. I also built a multilingual RAG pipeline with LangGraph and pgvector, and developed a WebMCP integration for Maya Online.