Kirkland, WA, United States of America

Pankaj Sharma

This inventor holds 16 USPTO granted patents and 6 published patent applications and 2 EPO patents. Top assignees: Microsoft Technology Licensing, LLC, Honeywell International Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pankaj Sharma. Retrieved from https://idiyas.com/inventor/pankaj-sharma-xaexvf9u

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

USPTO Granted Patents = 16 

% Patents Active = 100.0

 

Average Co-Inventor Count = 7.7

ph-index = 2

Forward Citations = 15(Granted Patents)


Location History:

  • Kirkland, WA (US) (2020 - 2022)
  • Bengaluru, IN (2021 - 2022)
  • Redmond, WA (US) (2024)

Company Filing History:


Years Active: 2020-2026

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16 patents (USPTO):Explore Patents

Title: Pankaj Sharma: Innovator in AI Workload Scheduling

Introduction

Pankaj Sharma is a prominent inventor based in Kirkland, WA (US), known for his significant contributions to the field of artificial intelligence and cloud computing. With a remarkable portfolio of 15 patents, Sharma has made strides in optimizing the scheduling of AI workloads in cloud infrastructures.

Latest Patents

Sharma's latest patents include a "Scheduler for planet-scale computing system," which describes a method for scheduling the execution of AI workloads in a cloud infrastructure platform. This global scheduler efficiently distributes AI workloads to nodes based on balancing resource ticket values. Local schedulers then manage the execution of these workloads based on the assigned resource ticket values. Additionally, he has developed a system for scheduling AI workloads based on priority tiers, allowing for effective management of preemption priorities during execution.

Another notable patent is "Transparent pre-emption and migration for planet-scale computer," which focuses on platform-level checkpointing for deep learning jobs. This innovation captures both GPU and CPU state data to ensure efficient recovery and execution of deep learning tasks. By managing memory in a domain-aware manner, Sharma's approach allows for the restoration of GPU contexts, enhancing the reliability of AI computations.

Career Highlights

Throughout his career, Pankaj Sharma has worked with leading companies such as Microsoft Technology Licensing, LLC and Honeywell International Inc. His experience in these organizations has contributed to his expertise in developing advanced technologies for AI and cloud computing.

Collaborations

Sharma has collaborated with notable professionals in the field, including Dharma Kiritkumar Shukla and Karthik Raman. These collaborations have further enriched his work and contributed to the development of innovative solutions in AI workload management.

Conclusion

Pankaj Sharma's contributions to the field of artificial intelligence and cloud computing are noteworthy. His innovative patents and collaborations reflect his commitment to advancing technology in this rapidly evolving domain.

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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