Seattle, WA, United States of America

Mohammed Khalilia


Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 15(Granted Patents)


Location History:

  • Seattle, WA (US) (2022)
  • Lynnwood, WA (US) (2023)

Company Filing History:


Years Active: 2022-2023

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4 patents (USPTO):Explore Patents

Title: Mohammed Khalilia: Innovator in Audio Technology and Machine Learning

Introduction

Mohammed Khalilia is a prominent inventor based in Seattle, WA, known for his contributions to audio technology and machine learning. With a total of 4 patents, he has made significant strides in enhancing user experiences through innovative systems and methods.

Latest Patents

Khalilia's latest patents include groundbreaking work in multi-channel volume level equalization based on user preferences. This patent describes systems, devices, and methods for adjusting volume levels of audio stems non-uniformly, allowing for a more personalized listening experience. The technology enables audio to be diarized into multiple stems, including background noise, and adjusts each stem based on user-specified preferences.

Another notable patent is focused on service architecture for entity and relationship detection in unstructured text. This invention outlines techniques for identifying entities within unstructured text elements and utilizes deep machine learning models to analyze and consolidate results. The service can detect relationships between attributes and entities, providing confidence scores for each detected entity.

Career Highlights

Khalilia is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions that push the boundaries of technology. His work has not only contributed to the company's advancements but has also set new standards in the industry.

Collaborations

Throughout his career, Khalilia has collaborated with talented individuals such as Naveen Sudhakaran Nair and Pragyana K Mishra. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Mohammed Khalilia's contributions to audio technology and machine learning exemplify the spirit of innovation. His patents reflect a commitment to enhancing user experiences and advancing technological capabilities. Khalilia's work continues to inspire future developments in these fields.

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