About Me

I am an Applied Scientist and Tech Lead at Amazon, conducting research at the intersection of Personalization, Recommendation, and Large Language Models. My work bridges natural language understanding, information retrieval, and foundation model fine-tuning with generative recommendation, grounded in extensive experience building end-to-end scalable ML systems for real-world applications across Ads, Search, and Recommendation systems at global scale.

My current research interests center on Large Language Models and their integration into retrieval-augmented generation (RAG) and agentic systems. Building on my experience deploying large-scale industrial ML products, I am particularly interested in how foundation models can be adapted to reason over structured and unstructured knowledge, enable grounded personalization, and support multi-agent collaboration, advancing both the science and practice of information retrieval and human-AI interaction.