Seattle, WA, United States of America

Sankalp Srivastava


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations of Sankalp Srivastava in Active Learning Data Labeling

Introduction

Sankalp Srivastava is an innovative inventor based in Seattle, WA. He has made significant contributions to the field of machine learning through his patented technology. His work focuses on enhancing the efficiency of data labeling processes, which is crucial for developing high-quality datasets.

Latest Patents

Sankalp holds a patent for an "Active learning loop-based data labeling service." This invention describes techniques for active learning-based data labeling, enabling users to build and manage large, high-accuracy datasets for various machine learning systems. The service automates the annotation and management of datasets, significantly increasing the efficiency of labeling tasks and reducing the time required for manual labeling. By utilizing active learning techniques, the invention minimizes the amount of data that requires manual intervention, allowing for iterative training of models that can identify additional objects in datasets autonomously.

Career Highlights

Sankalp is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work has been instrumental in advancing the capabilities of data labeling services, making them more efficient and effective.

Collaborations

Some of his notable coworkers include Fedor Zhdanov and Siddharth Vivek Joshi, who contribute to the collaborative environment at Amazon Technologies, Inc.

Conclusion

Sankalp Srivastava's contributions to active learning and data labeling represent a significant advancement in machine learning technology. His innovative approach not only streamlines the data labeling process but also enhances the overall efficiency of machine learning systems.

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