This inventor holds 9 USPTO granted patents. Top assignee: Oracle International Corporation. Active years: 2019-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Hyderabad, IN (2019 - 2024)
- Telangana, IN (2020 - 2024)
Company Filing History:
Years Active: 2019-2026
Title: Innovations of Venktesh Alvenkar
Introduction
Venktesh Alvenkar is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of technology, particularly in the area of log analytics and process visualization. With a total of seven patents to his name, Alvenkar's work has garnered attention for its innovative approaches to complex data analysis.
Latest Patents
One of Venktesh Alvenkar's latest patents focuses on systems and methods for identifying process flows from log files and visualizing these flows. This patent describes a process for identifying process flows from log sources, such as log files, and generating visual representations, including flow diagrams and Sankey diagrams. Additionally, the patent discusses the clustering of tree structures based on their shape using various hashing algorithms. It also introduces a user interface that features a query builder, allowing users to efficiently query a log analytics system for tree structures that meet user-defined criteria.
Career Highlights
Venktesh Alvenkar is currently employed at Oracle International Corporation, where he continues to innovate and develop new technologies. His work at Oracle has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.
Collaborations
Some of his notable coworkers include Jae Young Yoon and Dhileeban Kumaresan, who have worked alongside Alvenkar on various projects within the company.
Conclusion
Venktesh Alvenkar's innovative work in log analytics and process visualization has made a significant impact in the technology sector. His patents reflect a deep understanding of complex data systems and a commitment to improving how data is analyzed and visualized.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
