Shankar Sankararaman

Title: Innovations by Shankar Sankararaman

Introduction

Shankar Sankararaman is an accomplished inventor based in Burlingame, California. He has made significant contributions to the field of machine learning, holding three patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is titled "Contextual bandit for multiple machine learning models for content delivery." This invention involves a processor that receives user information and data about various user interface (UI) elements. The processor selects a machine learning model using a contextual bandit approach, which is trained based on user information. It then determines recommended UI elements to present to the user, enhancing the overall user experience. The model can also be re-trained based on user interactions with the recommended elements.

Another notable patent is "Machine learning based approach for recommending different categories of tax deductible expenses and related examples of tax deductible expenses for each category." This method automatically recommends categories of tax-deductible expenses to users of a software application. By providing input data to a trained machine learning model, the system generates recommendations that include various categories and examples of tax-deductible expenses. User feedback is incorporated to update the training data, improving the model's accuracy over time.

Career Highlights

Shankar currently works at Intuit, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work has significantly impacted the way users interact with financial software, making it easier for them to manage their expenses and understand tax deductions.

Collaborations

Shankar collaborates with talented coworkers, including Pragya Tripathi and Lan Jin, who contribute to the innovative environment at Intuit.

Conclusion

Shankar Sankararaman's contributions to machine learning and user interface design demonstrate his commitment to innovation. His patents reflect a deep understanding of user needs and the potential of technology to enhance everyday experiences.