Khorda, India

Surya Prakash Sahu

This inventor holds 1 USPTO granted patent. Top assignee: Observe.ai, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Surya Prakash Sahu. Retrieved from https://idiyas.com/inventor/surya-prakash-sahu

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


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: Surya Prakash Sahu: Innovator in Machine Learning

Introduction

Surya Prakash Sahu is a notable inventor based in Khorda, India. He has made significant contributions to the field of machine learning, particularly in the evaluation of recorded interactions. His innovative approach has the potential to enhance user experience and feedback mechanisms in various applications.

Latest Patents

Surya Prakash Sahu holds 1 patent for his invention titled "Machine learning-based evaluation of recorded interactions." This patent discloses a method that includes obtaining an evaluation plan corresponding to a new question, retrieving a representative interaction based on the new question, and using a reasoning and answer language model to evaluate the interaction. The process culminates in providing a preview evaluation result, which is then presented at a user interface. User feedback is collected and utilized to update the reasoning model, ensuring continuous improvement.

Career Highlights

Surya Prakash Sahu is currently employed at Observe.ai, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work focuses on enhancing the capabilities of AI systems in understanding and evaluating human interactions.

Collaborations

He collaborates with talented individuals such as Aashraya Sachdeva and Digvijay Anil Ingle, contributing to a dynamic and innovative work environment.

Conclusion

Surya Prakash Sahu is a pioneering inventor whose work in machine learning is shaping the future of interaction evaluation. His contributions are valuable to the advancement of technology in this field.

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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