I’m a Solutions Architect and Team Lead specializing in Microsoft 365, Azure, and AI-driven enterprise systems within the alternative asset management space.

I design and lead the delivery of secure, scalable, and compliant architectures that power Investor Relations, Client Partnerships, and Marketing organizations. My work sits at the intersection of platform engineering, business strategy, and applied AI.

I focus heavily on building production-grade AI systems—including Retrieval-Augmented Generation (RAG) pipelines, intelligent agents, and structured data extraction workflows—designed to operate reliably within enterprise constraints such as governance, auditability, and data security.

A core part of my work is embedding AI directly into business processes. From transforming unstructured sales and investor communications into structured insights, to enabling executive-level querying over internal knowledge bases, I build systems that reduce manual effort, improve decision quality, and unlock institutional knowledge at scale.

I approach AI pragmatically: architecture and retrieval design matter more than prompting alone. My focus is on building systems that are not only intelligent, but also trustworthy, explainable, and aligned with business outcomes.

What I Do

• Architect and deploy LLM-powered systems (RAG pipelines, agents, and retrieval frameworks) for enterprise use cases
• Transform unstructured data (emails, investor updates, documents) into structured, queryable insights using AI
• Design end-to-end AI pipelines: ingestion, chunking, embeddings, vector search, reranking, and response generation
• Build AI assistants and workflow agents that automate business processes across Investor Relations and Marketing
• Lead development of automation solutions using Power Automate, Azure services, and custom integrations
• Develop data and vector pipelines to unify enterprise knowledge across emails, documents, and systems
• Deliver AI-enhanced reporting and executive insights using Power BI and structured data models
• Mentor and lead engineering teams delivering scalable, production-grade solutions