Tarrytown, NY, United States of America

Punleuk Oum


Average Co-Inventor Count = 6.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Punleuk Oum

Introduction

Punleuk Oum is an accomplished inventor based in Tarrytown, NY (US). He has made significant contributions to the field of machine learning, holding a total of three patents. His work focuses on enhancing the efficiency and scalability of machine learning processes.

Latest Patents

One of his latest patents is titled "Configurable and scalable machine learning model lifecycle operator." This invention describes a method for managing the lifecycle of machine learning models using a computing device. The process involves receiving multiple pre-defined machine learning lifecycle tasks and executing a management-layer software layer for these tasks. The computing device also generates and updates a machine learning pipeline through this management-layer software.

Another notable patent is "Elastic execution of machine learning workloads using application based profiling." This invention relates to a system and method that supports the elastic execution of machine learning workloads. It involves generating a joint profile that includes both machine learning application execution and resource usage data. The model built from this profile allows for the elastic allocation of resources, enhancing the efficiency of application execution.

Career Highlights

Punleuk Oum is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions in the realm of machine learning and artificial intelligence.

Collaborations

He has collaborated with notable coworkers such as Debashish Saha and Evelyn Duesterwald, contributing to various projects that push the boundaries of technology.

Conclusion

Punleuk Oum's contributions to machine learning through his patents and work at IBM highlight his role as a significant innovator in the field. His inventions are paving the way for more efficient and scalable machine learning applications.

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