Mayank Shrivastava

Title: Innovations of Mayank Shrivastava

Introduction

Mayank Shrivastava is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of technology, particularly in machine learning and predictive modeling. With a total of five patents to his name, his work continues to influence various applications in the tech industry.

Latest Patents

One of Mayank's latest patents is titled "Self-supervised system generating embeddings representing sequenced activity." This patent describes a system that generates embeddings representing sequential human activity through self-supervised, deep learning models. These models can be utilized by various machine learning prediction models to create predictions and recommendations. The system includes an encoder-decoder that creates user-specific journeys based on human activity data from multiple sources. The embeddings are updated in real-time as new activity data is received, allowing for fine-tuning using labeled data to customize them for specific predictive models.

Another notable patent is "Time-factored performance prediction." This invention allocates training query intents for multiple training entities into training time intervals based on corresponding query intent times. It predicts target performance for entities in a time series by training a machine learning model on allocated training query intents and performance results. This innovative approach enhances the accuracy of predictions related to training milestones.

Career Highlights

Mayank currently works at Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and predictive analytics. His role involves developing advanced systems that leverage data to improve user experiences and operational efficiencies. His contributions have been instrumental in advancing the capabilities of machine learning applications within the company.

Collaborations

Mayank has collaborated with talented individuals such as Pushpraj Shukla and Hui Zhou. These collaborations have fostered an environment of innovation and creativity, leading to the development of cutting-edge technologies.

Conclusion

Mayank Shrivastava's work exemplifies the spirit of innovation in technology. His patents reflect a deep understanding of machine learning and its applications, making significant strides in predictive modeling. His contributions continue to shape the future of technology and enhance user experiences across various platforms.