Daniel Muñoz Huerta

Title: The Innovative Contributions of Daniel Muñoz Huerta

Introduction

Daniel Muñoz Huerta is an accomplished inventor based in Cambridge, MA (US). He has made significant strides in the field of data integration through his innovative patent. His work focuses on utilizing natural language processing to enhance data integration tasks, making them more accessible and efficient.

Latest Patents

Daniel holds a patent for a method titled "Natural language-based data integration." This computer-implemented method involves executing a data integration application on a remote device via a network. It features a graphical user interface (GUI) that allows users to input natural language commands representing data integration tasks. The method generates a set of ordered activities through a large language model (LLM) and selects appropriate APIs for each activity. Additionally, it creates a data pipeline based on these activities and back-translates the pipeline into a desired data format for execution.

Career Highlights

Daniel is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work has contributed to advancements in how data integration is approached, particularly through the use of natural language.

Collaborations

Some of Daniel's notable coworkers include Shaily Jignesh Fozdar and David Joseph Donahue. Their collaborative efforts contribute to the innovative environment at Microsoft Technology Licensing, LLC.

Conclusion

Daniel Muñoz Huerta's contributions to the field of data integration through his patent demonstrate the potential of natural language processing in technology. His work not only enhances the efficiency of data tasks but also paves the way for future innovations in the industry.