New York, NY, United States of America

Harsh Pandey

USPTO Granted Patents = 10 

Average Co-Inventor Count = 5.6

ph-index = 2

Forward Citations = 19(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2021)
  • Menlo Park, CA (US) (2022)
  • New York, NY (US) (2021 - 2024)

Company Filing History:


Years Active: 2021-2024

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10 patents (USPTO):Explore Patents

Title: Harsh Pandey: Innovator in Data Querying and Computation Analysis

Introduction

Harsh Pandey is a prominent inventor based in New York, NY (US), known for his contributions to data querying and computation analysis. With a total of 10 patents to his name, he has made significant strides in the field of technology.

Latest Patents

Among his latest patents is a "System and method for querying a data repository." This invention relates to methods and systems for querying data in a data repository. The method involves receiving a plurality of keywords, determining datasets related to those keywords, and identifying metadata that indicates relationships between the datasets. The system then provides suggested database queries in natural language form based on the keywords and metadata. Another notable patent is for "Interactive graph generation for computation analysis." This patent describes a user interface generation system that displays nodes of a computer program or computation, determining the ordering and position of elements for display.

Career Highlights

Harsh Pandey is currently employed at Palantir Technologies Inc., where he continues to innovate and develop new technologies. His work focuses on enhancing data interaction and visualization, making complex data more accessible and understandable.

Collaborations

He has collaborated with notable coworkers, including Cenk Sezgin and Advaya Krishna, contributing to various projects that push the boundaries of technology.

Conclusion

Harsh Pandey's innovative work in data querying and computation analysis has established him as a key figure in the tech industry. His patents reflect a commitment to improving how we interact with data, paving the way for future advancements.

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