Pimpri Chinchwad, India

Ranjit Ramchandra Vhanamane

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Schlumberger Technology Corporation. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ranjit Ramchandra Vhanamane: Innovator in Automated Similarity Measurement

Introduction

Ranjit Ramchandra Vhanamane is a notable inventor based in Pimpri Chinchwad, India. He has made significant contributions to the field of machine learning and data analysis. His innovative approach has led to the development of a unique patent that enhances the understanding of physical characteristics through advanced computational methods.

Latest Patents

Ranjit holds a patent for an invention titled "Automated similarity measurement and property estimation." This method involves receiving an input dataset that represents various physical characteristics of a volume. It generates an embedding by reducing the dimensionality associated with the input dataset using a trained machine learning model. The process includes comparing this embedding with multiple other embeddings generated from different datasets. By selecting relevant embeddings, the method estimates attributes of the volume based on the corresponding datasets.

Career Highlights

Ranjit is currently employed at Schlumberger Technology Corporation, where he applies his expertise in machine learning and data analysis. His work focuses on developing innovative solutions that improve the efficiency and accuracy of data interpretation in various applications.

Collaborations

Ranjit collaborates with talented professionals in his field, including Hiren Maniar and Sami Sheyh Husein. Their combined efforts contribute to advancing technology and enhancing the capabilities of their projects.

Conclusion

Ranjit Ramchandra Vhanamane is a distinguished inventor whose work in automated similarity measurement showcases his commitment to innovation. His contributions to machine learning and data analysis continue to impact the industry positively.

Profile summary based on public USPTO records.
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