Multi-LLM financial analysis platform
An end-to-end platform that combines market data, automated analysis pipelines, and several language models to produce decision-ready financial reports.
More than 70% less manual research timeRead case studyExplore 20+ years of experience in full-stack development, software architecture, Generative AI, and RAG. Ask the assistant about Kamal's background, skills, and projects.

A closer look at recent AI, architecture, and modernization work.
An end-to-end platform that combines market data, automated analysis pipelines, and several language models to produce decision-ready financial reports.
More than 70% less manual research timeRead case studyAn experimental internal platform that grounds language-model answers in trusted company information through semantic retrieval and controlled context.
More reliable, traceable AI answersRead case studyA major refactoring and quality program for a banking application, focused on maintainability, test coverage, and long-term delivery reliability.
70% of the codebase refactoredRead case studyKamal Loudiyi is a senior software engineer and architect based in Nancy, France, with more than 20 years of experience in full-stack development and enterprise system modernization. In recent years he has specialized in Generative AI: designing RAG systems, multi-LLM orchestration, and scalable cloud-native architectures.
Areas of expertiseKamal is open to new high-impact challenges and usually responds within 24–48 hours.