Carol Zhang is currently making significant strides as the Lead Machine Learning Scientist at Adobe, where she plays a pivotal role in the development and enhancement of Adobe Sensei and Search. With a robust background in machine learning and artificial intelligence, Carol is at the...
Carol Zhang is currently making significant strides as the Lead Machine Learning Scientist at Adobe, where she plays a pivotal role in the development and enhancement of Adobe Sensei and Search. With a robust background in machine learning and artificial intelligence, Carol is at the forefront of creating intelligent search and discovery solutions that leverage advanced algorithms and recommender systems. Her expertise in content intelligence allows her to design innovative models that improve user experience across Adobe’s diverse product suite.
In her current role, Carol leads key projects that focus on optimizing search ranking and enhancing e-commerce shopping discovery. Her work involves integrating sophisticated machine learning techniques with large-scale data processing frameworks such as HBase and Flume, ensuring that Adobe’s search capabilities are both efficient and effective. By employing tools like Keras and Mahout, she develops predictive models that personalize content delivery, making it easier for users to find relevant products and services.
Carol's technical leadership is instrumental in driving cross-organizational initiatives, where she collaborates with teams to implement scalable solutions that meet the evolving needs of Adobe’s global user base. Her proficiency in Java and Linux further supports her ability to build robust systems that can handle complex data workflows. As a thought leader in the field, Carol is not only shaping the future of search and discovery at Adobe but also contributing to the broader conversation around AI and its applications in enhancing user engagement and satisfaction.
