Bellevue, WA, United States of America

Vijai Mohan


Average Co-Inventor Count = 4.3

ph-index = 9

Forward Citations = 235(Granted Patents)


Location History:

  • Seattle, WA (US) (2017 - 2020)
  • Bellevue, WA (US) (2010 - 2022)

Company Filing History:


Years Active: 2010-2022

where 'Filed Patents' based on already Granted Patents

16 patents (USPTO):

Title: Innovations of Vijai Mohan

Introduction

Vijai Mohan is a prominent inventor based in Bellevue, WA (US). He has made significant contributions to the field of technology, particularly in user interface design and machine learning. With a total of 16 patents to his name, Vijai continues to push the boundaries of innovation.

Latest Patents

One of Vijai's latest patents is titled "System, method and non-transitory computer-readable medium for selecting user interface element types for display with a search result according to item category features of prior item selections." This patent describes a network-based system that enhances user experience by selecting appropriate user interface elements based on previous item selections. Another notable patent is "Encodings for reversible sparse dimensionality reduction," which focuses on reducing the model size of machine learning applications through innovative encoding techniques. This advancement allows for more efficient processing and representation of data.

Career Highlights

Vijai Mohan is currently employed at Amazon Technologies, Inc., where he applies his expertise to develop cutting-edge technologies. His work has significantly impacted the way users interact with digital platforms, making them more intuitive and efficient.

Collaborations

Some of Vijai's coworkers include Srikanth Thirumalai and Grant Michael Emery. Their collaborative efforts contribute to the innovative environment at Amazon Technologies, Inc.

Conclusion

Vijai Mohan's contributions to technology through his patents and work at Amazon Technologies, Inc. highlight his role as a leading inventor in the field. His innovative solutions continue to shape the future of user interface design and machine learning.

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