Debasish Das

Title: Innovations of Debasish Das

Introduction

Debasish Das is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of technology, particularly in machine learning and traffic flow control. With a total of four patents to his name, his work continues to influence advancements in software experimentation and data processing.

Latest Patents

Debasish Das's latest patents include "Machine learning based traffic flow control for adaptive experimentations." This patent discloses systems and methods for controlling traffic flow for software experimentation. The method involves receiving traffic from users to evaluate existing and new features, determining user portions for each feature, and adjusting based on feedback. Another notable patent is "Finite rank deep kernel learning with linear computational complexity." This patent outlines techniques for performing finite rank deep kernel learning, including the use of a deep neural network to form embeddings and predict values and uncertainties using a composite kernel.

Career Highlights

Debasish Das is currently employed at Intuit, Inc., where he applies his expertise in machine learning and software development. His innovative approaches have contributed to the company's success in creating user-friendly financial software solutions.

Collaborations

Debasish has collaborated with talented coworkers such as Sambarta Dasgupta and Sricharan Kumar. Their combined efforts have led to advancements in their respective fields and fostered a collaborative work environment.

Conclusion

Debasish Das is a prominent inventor whose work in machine learning and traffic flow control has made a significant impact on technology. His patents reflect his innovative spirit and dedication to improving software experimentation.