Company Filing History:
Years Active: 2019-2020
Title: Haseeb A Bhutta: Innovator in Data Processing Systems
Introduction
Haseeb A Bhutta is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of data processing systems, holding a total of 2 patents. His work focuses on enhancing the efficiency and reliability of data transfer mechanisms within complex computing environments.
Latest Patents
Haseeb's latest patents include innovative solutions that address critical challenges in data processing. One of his patents, titled "Intelligent certificate discovery in physical and virtualized networks," presents a mechanism for enumerating Peripheral Component Interconnect (PCI) Express (PCIe) devices within a data processing system. This invention allows for the efficient storage and presentation of PCI enumeration information to the operating system, thereby improving the management of PCIe devices.
Another significant patent is "Efficient transfer of data from CPU to onboard management device." This invention provides a method for transferring failure data from a processing unit to a management device. Upon detecting a failure, the system gathers failure information and communicates it effectively, ensuring timely error reporting and management.
Career Highlights
Haseeb A Bhutta is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop advanced technologies. His work at IBM has positioned him as a key contributor to the company's research and development efforts in data processing systems.
Collaborations
Haseeb has collaborated with talented coworkers such as Sheldon Lu and Viter Zhong. Their combined expertise has fostered a productive environment for innovation and problem-solving within their projects.
Conclusion
Haseeb A Bhutta's contributions to data processing systems through his patents demonstrate his commitment to advancing technology. His work not only enhances system efficiency but also plays a crucial role in the reliability of data management.