Goda is an Applied AI leader with 18+ years of experience building and scaling machine learning, optimization, and GenAI systems in high-complexity, real-time environments. She currently serves as Head of Data Science & Applied AI at Swiggy, where she leads a large organization of applied scientists driving the end-to-end development of foundational embedding models, recommendation and search systems, discovery personalization, ads optimization, logistics optimization, fraud and risk intelligence, forecasting platforms, mapping and location intelligence, and agentic GenAI copilots.
From greedy algorithms to sophisticated mathematical optimization models, Swiggy's VP of Data Science discusses the evolution of their decision systems in mobility and commerce.
