• Architecting the AI/ML integration roadmap for organic search — transitioning teams from manual optimization to model-driven strategy and automated analysis pipelines.
• Building custom Python tooling and PySpark pipelines in Databricks for predictive search intelligence, automated funnel analysis, and cross-platform data unification.
• Leading organizational shift toward AI-first search environments, including answer engine optimization (AEO) frameworks and LLM-citability strategy.

• Technical lead across 94+ pharmaceutical and healthcare domains — architecture, crawl optimization, Core Web Vitals, and structured data at enterprise scale.
• Engineered data pipelines and automated reporting frameworks that drove a 31% increase in organic traffic across the portfolio in 6 months.
• Reduced average CPC by 55% through technical performance optimization; cut customer acquisition cost by 75%+ via integrated intelligence.
• Built Python-based keyword classification and search intent models, replacing manual categorization with ML-driven taxonomy at scale.
• Managed direct reports; contributed to firm-wide DEI council.

• Built automated KPI reporting framework; increased organic leads 20% YoY through technical and content optimization.

• Primary specialist for retail & financial clients executing onsite/offsite SEO.

I write about the shift from traditional search optimization to AI-mediated discovery — what it means for marketing strategy, how organizations should prepare, and what's hype versus what's structural. Published on this site and LinkedIn.