I’m a Senior Machine Learning Engineer with a passion for building high-impact, scalable AI systems that solve real business challenges. With expertise spanning recommendation engines, search optimization, and NLP, I specialize in bridging research innovations with production-ready applications that deliver measurable results.
My Journey
Currently at Disney+, I’m scaling recommendation, search and personalization systems that serve 130 Million paid users across 80+ countries. I’ve engineered ML pipelines that not only improve content discovery but significantly boost user engagement metrics. My work also includes using LLMs that transform content categorization, embedding generation etc enabling more intuitive discovery experiences.
At Salesforce, I joined a brand new team tasked with building the E-Commerce search platform from absolute zero. I built and scaled this critical system from initial concept to a robust platform handling thousands of transactions per second. This “0 to 1” journey included developing an intelligent search rules engine that dynamically re-ranks products and implementing semantic search with BERT embeddings. Taking a new idea and transforming it into a production-grade platform that directly generates revenue showcases my ability to navigate ambiguity and deliver business-critical systems at scale.
My foundation in infrastructure engineering at Dell-EMC and data platform work at John Deere provided me with a comprehensive understanding of building resilient, scalable systems—skills that prove invaluable when deploying ML models to production environments where reliability is non-negotiable.