Ravinder Nehra

Title: Ravinder Nehra: Innovator in Application Scheduling Technology

Introduction

Ravinder Nehra is a notable inventor based in Haryana, India. He has made significant contributions to the field of application orchestration through his innovative patent. His work focuses on improving the efficiency of resource scheduling in shared computing environments.

Latest Patents

Ravinder Nehra holds a patent for a "Self-learning scheduler for application orchestration on shared compute cluster." This technology is designed to enhance the scheduling distribution of resource requests, such as job and service scheduling tasks initiated by applications on shared compute infrastructure. The self-learning application scheduler incorporates a reinforcement learning agent that iteratively learns a scheduling policy. This learning process aims to improve the distribution of resource requests, minimizing contention and enhancing overall application performance for a better user experience.

Career Highlights

Ravinder Nehra is currently employed at Adobe, Inc., where he applies his expertise in application scheduling technology. His innovative approach has positioned him as a key player in the development of advanced scheduling solutions.

Collaborations

Some of his notable coworkers include Subrata Mitra and Nikhil Sheoran, who contribute to the collaborative environment at Adobe, Inc.

Conclusion

Ravinder Nehra's contributions to application scheduling technology demonstrate his commitment to innovation and improving user experience in shared computing environments. His patent reflects a significant advancement in the field, showcasing the potential of self-learning systems in resource management.