Subir Roy

Title: Subir Roy: Innovator in Machine Learning Scheduling

Introduction

Subir Roy is a notable inventor based in Austin, TX, who has made significant contributions to the field of machine learning. With a focus on optimizing the scheduling of inference jobs, his work has implications for various applications in technology and data processing.

Latest Patents

Subir Roy holds two patents, with his latest invention being a method, system, and computer program product for dynamically scheduling machine learning inference jobs with different quality of services on a shared infrastructure. This innovative approach involves receiving or determining a plurality of performance profiles associated with various system resources, each linked to a machine learning model. The system can process requests for resources for inference jobs, determine the appropriate system resource based on performance profiles and quality of service requirements, and update performance profiles based on the results of the inference job.

Career Highlights

Subir Roy is currently employed at Visa International Service Association, where he applies his expertise in machine learning and scheduling systems. His work at Visa highlights the intersection of finance and technology, showcasing how innovative solutions can enhance operational efficiency.

Collaborations

Some of Subir Roy's coworkers include Yinhe Cheng and Yu Gu, who contribute to the collaborative environment that fosters innovation and development in their projects.

Conclusion

Subir Roy's contributions to machine learning scheduling demonstrate his commitment to advancing technology in meaningful ways. His patents reflect a deep understanding of system performance and resource management, positioning him as a key figure in the field.