Bindesh Vijayan

Advised C-level stakeholders on aligning business transformation goals with long-term AI and data strategies emphasizing GenAI enablement, data maturity, and AI-driven decision systems. Designed and delivered scalable LLM-powered applications for enterprise clients using Azure OpenAI and Azure AI Agents. Architected advanced agentic AI systems integrating enterprise data and enabled efficient LLM fine-tuning for custom domain applications. Led implementation of AI governance frameworks and developed local-first GenAI workflows focusing on privacy and low latency. Engaged in pre-sales solutioning and delivered AI/ML workshops to upskill stakeholders and promote AI adoption.

Led data modernization initiatives for Abu Dhabi Government entities, reviewing existing architectures and capacity to recommend optimized Microsoft Azure solutions including Fabric, Synapse Analytics, and Databricks. Reviewed RFPs for large-scale data platform implementations. Facilitated architectural review sessions with multiple vendors ensuring governance and platform alignment. Acted as liaison for integrating security requirements, designed and deployed a secure scalable Data Marketplace enabling compliant inter-departmental data sharing. Collaborated with executive leadership to shape modernization roadmaps and align with digital transformation strategies.

Led data modernization initiatives across Abu Dhabi government entities by reviewing data architectures, ensuring solution scalability on Microsoft Azure platforms including Fabric and Synapse Analytics. Facilitated multi-vendor architectural reviews across Microsoft, Artefact, PwC, and Harbr, ensuring secure data platform deployments. Designed Data Marketplace solutions for compliant inter-departmental data sharing and aligned modernization roadmaps with broader digital transformation strategies.