Sriram Gopalakrishnan

Title: Sriram Gopalakrishnan: Innovator in Multi-Modal Time-Series Data Retrieval

Introduction

Sriram Gopalakrishnan is an accomplished inventor based in West New York, NJ (US). He has made significant contributions to the field of data retrieval, particularly through his innovative patent that focuses on multi-modal time-series data.

Latest Patents

Sriram holds a patent titled "Method and system for multi-modal time-series retrieval through latent space projections." This patent describes a method and system that efficiently captures and stores time-series data by utilizing multi-modal data retrieval techniques. The process involves generating synthetic time-series data and corresponding textual descriptions, which are then used to create images. These images train an image encoder to learn a shared latent space, while textual descriptions train a text encoder. The system also includes receiving historical time-series data, storing it in a database, and generating an index for efficient information retrieval based on user queries.

Career Highlights

Sriram is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in data retrieval and innovation. His work at the bank allows him to leverage his patent in practical applications, enhancing the efficiency of data management and retrieval processes.

Collaborations

Sriram collaborates with talented professionals such as Andrea Coletta and Elizabeth Fons. Their teamwork contributes to the advancement of innovative solutions in their field.

Conclusion

Sriram Gopalakrishnan is a notable inventor whose work in multi-modal time-series data retrieval has the potential to transform data management practices. His contributions, particularly through his patent, highlight the importance of innovation in the ever-evolving landscape of technology.