Comprehensive AI leadership from boardroom strategy to technical execution.
Aligning AI initiatives with business goals. I define the "North Star" vision and break it down into quarterly execution plans, ensuring every dollar spent drives measurable value.
Establishing robust frameworks for Responsible AI. I help organizations navigate data privacy, bias mitigation, and regulatory compliance (EU AI Act, NIST) without stifling innovation.
Designing and deploying autonomous AI agents. I architect systems where LLMs interact with tools and APIs to automate complex, multi-step business processes.
Real-world applications of AI solving enterprise challenges.
Challenge: A Fortune 500 firm had siloed data across
SharePoint, Jira, and G-Drive, causing 20% productivity loss.
Solution: Architected a RAG (Retrieval-Augmented
Generation) system using LangChain and Pinecone to unify search.
ROI: Reduced information retrieval time by 65%,
saving $2M annually in operational costs.
Challenge: Unpredictable inventory spikes.
Solution: Custom ML forecasting model.
ROI: 15% reduction in carrying costs.
Automated content generation pipeline for a global retailer, increasing output by 400% while maintaining brand voice.
Fine-tuned LLM for Tier 1 support, resolving 40% of tickets autonomously with 4.8/5 CSAT score.
I am a technologist at heart and a strategist by trade. With over 15 years of experience in the Fortune 2000, I have sat in the CIO seat and understand the pressure to innovate while maintaining operational stability.
My approach is pragmatic: AI is not magic; it's engineering. I bridge the gap between the hype and the "how," helping organizations build sustainable, scalable AI capabilities that survive the news cycle.