Bengaluru, India

Kedar Milind Kulkarni

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.2

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Kedar Milind Kulkarni: Innovator in Data Analysis Technologies

Introduction

Kedar Milind Kulkarni is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data analysis and machine learning. With a total of three patents to his name, Kedar is recognized for his innovative approaches to automatic data modeling and analysis.

Latest Patents

Kedar's latest patents include groundbreaking technologies that enhance data access and analysis systems. One of his notable inventions is the "Automatic machine learning data modeling in a low-latency data access and analysis system." This patent focuses on identifying analytical objects based on usage intent, generating analytical model queries, and outputting visualizations of results data. Another significant patent is the "Automatic data analysis formula phrase generation," which involves creating natural language strings for automatically generated data-analysis formula phrases. This invention utilizes large language models to enhance the efficiency of data analysis processes.

Career Highlights

Kedar currently works at ThoughtSpot, Inc., where he continues to develop innovative solutions in data analysis. His work has been instrumental in advancing the capabilities of analytical systems, making them more responsive and user-friendly. Kedar's expertise in machine learning and data modeling has positioned him as a key player in the tech industry.

Collaborations

Kedar collaborates with talented professionals, including his coworker Akshay Agrawal. Together, they work on projects that push the boundaries of data analysis technologies.

Conclusion

Kedar Milind Kulkarni is a visionary inventor whose work in data analysis and machine learning is shaping the future of technology. His patents reflect a deep understanding of user needs and technological advancements. Kedar's contributions are paving the way for more efficient data analysis systems.

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