Summary
Pooja Hiranandani is a Senior Machine Learning Engineer with eight years of experience building NLP and predictive models for AdTech and business-conversation intelligence. She has delivered production relevance and response prediction systems at Amazon Ads and real-time intent, sentiment, and insight extraction models at Dialpad, and now applies that expertise to generative ad-creative work at Shopify. Pooja blends practical engineering—deploying realtime ML pipelines—with research-grade rigor from an MS at NYU Courant, and she champions explainable AI and clear, accessible writing about complex models. Her work spans the full model lifecycle, from feature engineering and evaluation to scalable inference in programmatic workflows, and she often focuses on making model behavior interpretable for product and business stakeholders. A subtle but consistent thread in her career is turning conversational signals into actionable predictions that directly impact monetization and user experience.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at NYU Courant Institute School of Mathematics, Computing, and Data Science
English, Hindi