Mohammad Rafsan

Title: Innovations of Mohammad Rafsan

Introduction

Mohammad Rafsan is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the monitoring of machine learning models, which is crucial for various applications in technology and data analysis.

Latest Patents

Mohammad Rafsan holds a patent for a "System and method for machine learning monitoring." This invention involves generating a time series of discrete time bins to monitor a machine learning model. For each time bin, the process includes generating data point labels using a labeling function, applying weak labels to incoming data, and comparing these labels to the output labels of the machine learning model. Additionally, the invention generates aggregate metrics for the time bins and identifies anomalies in these metrics, thereby improving the reliability and performance of machine learning systems.

Career Highlights

Currently, Mohammad Rafsan is employed at the Royal Bank of Canada, where he applies his expertise in machine learning and data analysis. His role involves collaborating with other professionals to enhance the bank's technological capabilities and improve customer experiences through innovative solutions.

Collaborations

Mohammad has worked alongside talented colleagues such as Francis Duplessis and Marjan Albooyeh. Their collaborative efforts contribute to the advancement of projects within the bank, fostering an environment of innovation and creativity.

Conclusion

In summary, Mohammad Rafsan is a notable inventor whose work in machine learning monitoring has the potential to transform how data is analyzed and utilized. His contributions at the Royal Bank of Canada exemplify the impact of innovation in the financial sector.