Hello and welcome!

I am a Senior AI Scientist with the Personalization and Recommendations (PRZ) team at Target. My work focuses on real-time ranking algorithms, item-item associativity modeling for cold-start recommendations, category-aware personalization, and customer behavior modeling. Particularly, I build and deploy scalable recommender systems that incorporate foundation and generative AI models that adapt to user preferences, capture product- and category-specific signals, and personalize discovery experiences across diverse customer segments.

My expertise spans algorithm design, large-scale optimization, inference systems, and decision-making under uncertainty. I am particularly interested in building AI systems that are not only effective in practice, but also grounded in principled methods from information theory, optimization, game theory and reinforcement learning.