At MAQ Software, I design enterprise AI solutions with Microsoft Fabric Data Agents, semantic models, and MCP-based services so people can query governed enterprise data in natural language.
I configured Prep for AI across 20+ reports and created and validated 300+ verified answers. I also developed custom AI instructions for 15+ semantic models to guide business context, queries, and governed access.
As a Software Engineer I, I engineered Microsoft Fabric ETL/ELT pipelines for datasets containing billions of rows and developed processing workflows across 50+ tables. Those workflows improved processing efficiency by 20%.
Earlier, I developed Power BI dashboards across 10+ reports for 1,000+ users and designed reusable semantic models, improving dashboard performance by 30%. I hold Microsoft certifications in Fabric Analytics Engineering, Fabric Data Engineering, SQL AI development, GitHub Copilot, and Azure AI Engineering.
