Company Filing History:
Years Active: 2025
Title: **Innovator Spotlight: Manikandan Rajaraman from Chennai**
Introduction
Manikandan Rajaraman is a notable inventor based in Chennai, India. He has made significant contributions to the field of decentralized data systems, earning recognition for his innovative approaches. His work in improving data network operations is crucial for enhancing the efficiency of modern data management solutions.
Latest Patents
Manikandan holds a patent titled "System and method of pseudo path compression-based enhancement of decentralized data systems." This patent focuses on improving the throughput of a Distributed Hash Table (DHT) network. The methodology includes several steps such as inputting a maximal allowable number of node hops and utilizing a gossip protocol to locate an authority node. If the observed node hop number exceeds the set limit, it triggers a shortening protocol that creates supplementary read and write tables to enhance data retrieval efforts. This inventive step significantly optimizes the operation of decentralized networks.
Career Highlights
Currently, Manikandan is a valued employee at Bank of America Corporation. His expertise in data systems has played a vital role in advancing the bank's technological capabilities. Through his innovative patent, he contributes to the bank's efforts in streamlining data management processes.
Collaborations
Manikandan collaborates with talented professionals such as Sakshi Bakshi and Saravanan Balasubramanian. Their teamwork enhances the innovation and efficiency of their projects, fostering an environment of creativity and productivity within their organization.
Conclusion
Manikandan Rajaraman stands out as an influential inventor in the realm of decentralized data systems. His patent demonstrates a keen understanding of network optimization and reflects his commitment to innovation. As he continues to collaborate with skilled colleagues at Bank of America Corporation, his contributions are likely to lead to further advancements in data management technologies.