Ismail H.

Graph-based Modeling of Multimodal Epilepsy Patient Data

• Participation in a research project focused on adapting multimodal medical data. ○ Adapting EEG, MRI, clinical annotations into graph structures. ○ Enable representation learning for epilepsy diagnosis and progression prediction using Graph Neural Networks. ○ Integration of heterogeneous data modalities and application of state-of-the-art GNN architectures.

• Conducted a technical mission for Buyco, a SaaS platform streamlining international container shipping for large B2B shippers. ○ Developed a conversational voice agent capable of scheduling client meetings through automated phone calls. ○ Designed and deployed a voice automation workflow using n8n, integrating ElevenLabs, Vonage and MCP interaction.

• Implemented API calls to manage conversation logic, appointment booking, and message routing.

• Christian DIOR Couture: Tech Lead within an AGILE project for data visualization: ○ Optimization of KPIs calculation times on PowerBI (DAX query execution times). ○ Integration of data into PowerBI data flows, and management of dataset updates for the Americas execution committee.

• Eaton Corporation: Configuration of payroll data flows using SaaS beqom: ○ Creation of the global architecture for data integration pipelines on Azure Data Factory. ○ Development of SQL stored procedures for ETL.

• Ardian: Migration of an integration solution (private equity company): ○ Integration architecture for the various flows (SSIS). ○ Parameterization of the solution using configuration files.