Hyderabad Telangana, India

Aiswarya

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Servicenow, Inc.. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Aiswarya: Innovator in Data Analytics

Introduction

Aiswarya is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of data analytics, particularly in optimizing memory utilization for data processing tasks. His innovative approach has led to the development of a patented technology that addresses critical challenges in data management.

Latest Patents

Aiswarya holds a patent titled "Reduced memory utilization for data analytics procedures." This invention involves a main database, main memory, and one or more processors configured to perform several tasks. The data collector application retrieves records from the main database, aggregates values related to key performance indicators (KPIs), and manages memory utilization effectively. When memory usage exceeds a predefined threshold, the application writes partial KPI data to an embedded database and releases memory blocks, ensuring efficient data handling.

Career Highlights

Aiswarya is currently employed at ServiceNow, Inc., where he applies his expertise in data analytics and memory optimization. His work has been instrumental in enhancing the efficiency of data processing systems, making him a valuable asset to his organization.

Collaborations

Aiswarya collaborates with talented colleagues, including Vignesh Salem Ramamurthy and Gayatri Kamarajugadda. Together, they contribute to innovative projects that push the boundaries of data analytics and technology.

Conclusion

Aiswarya's contributions to data analytics through his patented invention demonstrate his commitment to innovation and efficiency. His work continues to impact the field positively, showcasing the importance of optimizing data management processes.

Profile summary based on public USPTO records.
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