This inventor holds 1 USPTO granted patent. Top assignee: Pinterest, Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: The Innovative Mind of Vijai Mohan
Introduction
Vijai Mohan is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in the area of attribute extraction. His work focuses on developing systems and methods that enhance the efficiency of data processing within various domains.
Latest Patents
Vijai Mohan holds a patent for a groundbreaking invention titled "Attribute extraction." This patent discloses systems and methods for autonomously extracting attributes from domains of a vertical. The disclosed implementations train a deep neural network (DNN) based on one or more domains of a vertical using labeled embedding vectors generated for nodes of those domains. The trained DNN can then autonomously label nodes of other domains within the same vertical, allowing for the extraction of corresponding attributes.
Career Highlights
Vijai Mohan is currently employed at Pinterest, Inc., where he continues to innovate and contribute to the company's technological advancements. His expertise in deep learning and neural networks has positioned him as a valuable asset in the tech industry.
Collaborations
Throughout his career, Vijai has collaborated with talented individuals such as Jinfeng Zhuang and Zhengda Zhao. These partnerships have fostered a creative environment that encourages the development of innovative solutions.
Conclusion
Vijai Mohan's contributions to the field of attribute extraction exemplify the impact of innovative thinking in technology. His work not only advances the capabilities of data processing but also sets a foundation for future developments in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
