
During April 2025, contributed to the OpenCTI-Platform by implementing Azure AI integration for natural language querying, expanding enterprise deployment options and configurability. Leveraging TypeScript for backend development, introduced Azure AI as a selectable NLQ chat model and exposed new configuration parameters to support flexible instance and deployment management. Enhanced the documentation repository using Markdown, detailing AzureAI cloud endpoint support and clarifying configuration steps for users. The work focused on AI integration, backend development, and cloud services, enabling organizations to adopt Azure AI for NLQ tasks with improved operational flexibility and enterprise readiness, while maintaining clear and accessible technical documentation.
Implemented Azure AI capabilities for NLQ and cloud endpoint support, expanding enterprise deployment options and configurability. Delivered backend and docs enhancements to enable Azure AI as a selectable NLQ model and as a cloud endpoint, with clear configuration parameters for Azure AI instances and deployments. This month prioritized feature delivery and documentation to drive enterprise adoption and operational flexibility.
Implemented Azure AI capabilities for NLQ and cloud endpoint support, expanding enterprise deployment options and configurability. Delivered backend and docs enhancements to enable Azure AI as a selectable NLQ model and as a cloud endpoint, with clear configuration parameters for Azure AI instances and deployments. This month prioritized feature delivery and documentation to drive enterprise adoption and operational flexibility.

Overview of all repositories you've contributed to across your timeline