This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018
Title: Innovator Spotlight: Neha Sherpa - Pioneering Data Volume Auto-Repair Solutions
Introduction: Neha Sherpa, a dedicated inventor based in Seattle, WA, has made significant contributions to the field of data management through her innovative solutions. With her sole patent focusing on enhancing data volume integrity, she exemplifies the spirit of innovation in the tech industry.
Latest Patents: Neha holds a patent titled "Data volume auto-repair based on volume degradation level." This patented method addresses the challenges of maintaining data reliability in distributed systems by determining the number of unavailable shards from a collection associated with a data volume. Her approach utilizes erasure coding principles, allowing for the reconstruction of data even when certain shards are inaccessible, thus ensuring operational continuity.
Career Highlights: Neha Sherpa is presently employed at Amazon Technologies, Inc., where her expertise plays a pivotal role in advancing the company's data solutions. Her patent reflects her commitment to improving data security and efficiency, contributing to a more resilient infrastructure in cloud services.
Collaborations: At Amazon, Neha collaborates with talented individuals such as Jonathan Robert Collins and Divya Malika Patruni. Working alongside such esteemed colleagues enhances her ability to innovate and push the boundaries of data management technologies.
Conclusion: Neha Sherpa's innovative work in data volume auto-repair showcases her skills as an inventor and her contribution to technological advancements. With one patent to her name, she continues to inspire future innovations within Amazon Technologies, Inc. and beyond, highlighting the importance of inventive solutions in the rapidly evolving tech landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
