Quezon, Philippines

Sharlene L Tan


Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 4(Granted Patents)


Location History:

  • Quezon, PH (2022 - 2024)
  • Quezon City, PH (2024)

Company Filing History:


Years Active: 2022-2024

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4 patents (USPTO):

Title: **Sharlene L. Tan: A Trailblazer in Document Association Technologies**

Introduction

Sharlene L. Tan, an inventive spirit from Quezon, Philippines, has made significant contributions to the field of document association technologies. With a total of four patents to her name, Tan has demonstrated her expertise and commitment to innovation, particularly through her work at Optum Technology, Inc.

Latest Patents

Among her noteworthy patents, Sharlene's latest innovations focus on the dynamic detection of cross-document associations. These advanced systems and methods are designed to generate a set of related document objects for a predictive entity and to curate an optimal document sequence for these related objects. In her inventive process, she employs an entity-document correlation machine learning model to extract and process entity metadata features. Additionally, her work involves a document sequence optimization machine learning model, ensuring that an optimal sequence is created from the generated related document objects. This dual approach reflects her deep understanding of technology and machine learning in optimizing document relationships.

Career Highlights

Sharlene's tenure at Optum Technology, Inc. has been marked by her dedication to pushing the boundaries of what is possible within the realm of document processing and machine learning. Her patents serve as a testament to her innovative approach to solving complex problems and improving the efficiency of document utilization in various predictive contexts.

Collaborations

Throughout her career, Sharlene has collaborated with esteemed colleagues such as Swapna Sourav Rout and Vamsi Bhandaru. Together, they have worked on pioneering solutions that enhance the functionality and efficiency of document systems, fostering a collaborative environment that feeds innovation and idea exchange.

Conclusion

Sharlene L. Tan stands out as a significant contributor to the evolving landscape of technology and machine learning applications in document association. Her ongoing commitment to innovation not only enriches the field but also paves the way for future advancements that can revolutionize how we engage with document systems. As she continues her work at Optum Technology, there is much anticipation for the impact her future developments will undoubtedly have on the industry.

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