Apurva is a Senior Computer Vision Engineer at Brambles, with over seven years of R&D experience across diverse industrial domains. At Brambles, she specializes in designing and deploying cutting-edge machine learning and computer vision IoT prototypes to enhance supply chain efficiencies. Previously, at Spectrum, she contributed to Industrial IoT R&D, focusing on machine learning for wireless access, video analytics, and predictive air quality modeling using edge device data. Her tenure at Lands’ End involved expertise in sales forecasting, pricing strategies, and product similarity analysis.
She has also conducted independent research on Large Language Models (LLMs), exploring their applications in supply chain solutions. She is also a member of the Harvard Business Review Advisory Council, a research community of business professionals. Passionate about the convergence of computer vision, NLP, and machine learning, she is dedicated to driving impactful advancements in technology and operational excellence.