San Francisco, CA, United States of America

Mangesh Bendre

This inventor holds 1 USPTO granted patent. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mangesh Bendre. Retrieved from https://idiyas.com/inventor/mangesh-bendre-7sbvbb9o

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mangesh Bendre: Innovator in Scalable Data Processing

Introduction

Mangesh Bendre is a notable inventor based in San Francisco, CA (US). He has made significant contributions to the field of data processing through his innovative patent. His work focuses on enhancing the efficiency of data aggregation methods.

Latest Patents

Mangesh Bendre holds a patent for a "Scalable window aggregator." This invention discloses a method performed by a computer that includes receiving a dataset with one or more data fields. The computer can receive instructions to compute an aggregate feature of the dataset. It then determines an operator and a window based on the aggregate feature to be computed. The method includes processing the dataset and applying the operator with the window to compute the aggregate feature.

Career Highlights

Throughout his career, Mangesh has demonstrated a strong commitment to innovation in data processing technologies. His patent reflects his ability to address complex challenges in the field, showcasing his technical expertise and forward-thinking approach.

Collaborations

Mangesh has collaborated with talented individuals such as Fei Wang and Hao Yang. Their combined efforts have contributed to the development of advanced methodologies in data aggregation.

Conclusion

Mangesh Bendre's contributions to scalable data processing through his patent highlight his role as an innovator in the field. His work continues to influence the way data is aggregated and processed, paving the way for future advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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