Mahan Das

Title: Mahan Das - Innovator in Synthetic Data Generation

Introduction

Mahan Das is a prominent inventor based in San Jose, California. He has made significant contributions to the field of synthetic data generation, particularly in the context of query generation. His innovative work has implications for various applications in data management and artificial intelligence.

Latest Patents

Mahan Das holds a patent for the "Generation of synthetic data for query generation." This patent describes systems, methods, devices, and computer-readable storage media that provide techniques for generating synthetic data for use in query generation. The invention involves using a pair comprising a natural language (NL) query and a query language (QL) query, along with predicted catalog information, to prompt a large language model (LLM) to generate an augmented pair that serves as a variation of the original pair. The synthetic data generated includes this augmented pair. Additionally, the invention allows for receiving feedback on a QL query generated by the LLM, leading to the creation of a corrected pair that meets the criteria of a data store.

Career Highlights

Mahan Das is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work focuses on enhancing the capabilities of data generation and management systems, contributing to advancements in the field.

Collaborations

Mahan has collaborated with notable colleagues, including Xinye Tang and Ye Xing, who share his passion for innovation and technology. Their combined efforts have led to significant advancements in their respective areas of expertise.

Conclusion

Mahan Das is a key figure in the realm of synthetic data generation, with a patent that showcases his innovative approach to query generation. His contributions at Microsoft Technology Licensing, LLC, and collaborations with talented coworkers highlight his commitment to advancing technology.