Hyderabad Telangana, India

Abhilash Sivva

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


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: Abhilash Sivva: Innovator in Predictive Data Analysis

Introduction

Abhilash Sivva is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of predictive data analysis through his innovative patent. His work focuses on enhancing the efficiency and effectiveness of predictive code recommendations using advanced machine learning techniques.

Latest Patents

Abhilash holds a patent for "Predictive data analysis techniques using graph-based code recommendation machine learning models." This invention discloses solutions for more efficient and effective predictive code recommendations. The method involves identifying a graph-based code recommendation machine learning model, where each inferred edge weight value is updated based on compressed forward-adjusted temporal distance measures. This process allows for the generation of related codes for input predictive codes and enables prediction-based actions based on these related codes. Abhilash's patent represents a significant advancement in the field, showcasing his expertise and innovative thinking.

Career Highlights

Abhilash Sivva is currently employed at Optum Technology, Inc., where he applies his skills in data analysis and machine learning. His work at Optum Technology has allowed him to further develop his expertise and contribute to cutting-edge projects in the technology sector.

Collaborations

Abhilash has collaborated with talented professionals such as Nilav Baran Ghosh and Srikanth B Adibhatla. These collaborations have enriched his work and fostered a creative environment for innovation.

Conclusion

Abhilash Sivva is a pioneering inventor whose contributions to predictive data analysis are noteworthy. His patent reflects his commitment to advancing technology and improving predictive code recommendations. His work continues to inspire others in the field of machine learning and data analysis.

Profile summary based on public USPTO records.
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