Cape Town Western Cape, South Africa

Leonard Botha

This inventor holds 1 USPTO granted patent. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Leonard Botha. Retrieved from https://idiyas.com/inventor/leonard-botha-jhvphkwt

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Leonard Botha: Innovator in Data Structures

Introduction: Leonard Botha is a notable inventor based in Cape Town, Western Cape, South Africa. He has made significant contributions to the field of data structures, particularly with his innovative patent that addresses set inclusion through advanced hashing techniques. His work is instrumental in enhancing data processing efficiency.

Latest Patents: Leonard Botha holds a patent titled "Distributable hash filter for nonprobabilistic set inclusion." This patent describes a method that recursively updates a bit array using allowed and disallowed sets of object identifiers. The process involves utilizing a hash function to manage collisions and generate a compressed data structure that optimizes set inclusion operations.

Career Highlights: Leonard is currently employed at Hewlett Packard Enterprise Development LP, where he applies his expertise in data structures and algorithms. His work at this esteemed company allows him to collaborate with other talented professionals in the field.

Collaborations: Some of Leonard's coworkers include Ashton Hudson and Pierre Hugo, who contribute to the innovative environment at Hewlett Packard Enterprise Development LP.

Conclusion: Leonard Botha's contributions to the field of data structures through his patent demonstrate his commitment to innovation and efficiency in data processing. His work continues to influence advancements in technology and data management.

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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