At Netflix, I architect production recommendation, ranking, and personalization systems for streaming environments, and build distributed ML pipelines spanning training, evaluation, and inference. I also develop Generative AI, RAG, and agentic AI systems, with production practices for retrieval evaluation and observability.
Previously, I developed demand forecasting and dynamic-pricing models at Sonder, recommendation and ranking systems at Instacart, and NLP and personalized content discovery systems at Trapit. Across these roles, I’ve worked on ML platforms, distributed data pipelines, and cloud AI infrastructure using Python, Spark, and AWS, Azure, and GCP.
