Matthieu Michel Robin Landos

Title: Matthieu Michel Robin Landos: Innovator in Search Systems

Introduction

Matthieu Michel Robin Landos, based in Grenoble, France, is a notable inventor with a strong focus on advancements in search system technologies. With three patents to his name, he has made significant contributions that are paving the way for improved functioning of database systems and search functionalities.

Latest Patents

Among his latest inventions are two innovative patents that highlight his expertise. The first patent, titled "Management of search features via declarative metadata," presents a method for managing features within a search system. This inventive method encompasses receiving search metadata containing declarative statements, functional verification of search features, thorough testing, and eventual enabling of the features across various components of the system based on successful outcomes.

The second patent, "Tenant specific and global pretagging for natural language queries," relates to a database system that processes natural language queries associated with multi-tenant systems. This innovative approach involves parsing the query into tokens, tagging them with identifiers specific to tenants, and employing a global tagging model to ensure accurate database queries tailored to the respective tenant's needs.

Career Highlights

Matthieu currently works at Salesforce, Inc., where he is driving initiatives in search system development and enhancements. His career reflects a commitment to innovative solutions that cater to the modern demands of user interaction with complex data sets. With an impressive record of invention, Matthieu is recognized for his contributions that extend beyond standard practices in the industry.

Collaborations

In his journey as an inventor, Matthieu has collaborated with esteemed colleagues Georgios Balikas and Marc Brette. These collaborations have enriched his perspectives and fueled innovative ideas, leading to the successful development of his patents. Their combined expertise in technology and search systems has proved invaluable in advancing their projects.

Conclusion

Matthieu Michel Robin Landos stands out as an inventor dedicated to enhancing search system functionalities through innovative methods and teamwork. With a focus on declarative metadata and natural language processing, his work holds promise for streamlining database interactions across multi-tenant environments. Through his inventions, Matthieu continues to contribute significantly to the field, embodying the spirit of innovation in technology.