San Francisco, CA, United States of America

Swapnil Laddha


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Swapnil Laddha

Introduction

Swapnil Laddha is an accomplished inventor based in San Francisco, CA, recognized for his contributions to the field of linear programming optimization. With a total of two patents to his name, he has made significant strides in the development of advanced solutions that streamline sourcing requests and enhance decision-making processes.

Latest Patents

Swapnil's latest patents focus on optimizing linear programming models through the use of various solvers. One patent details a program that receives sourcing requests from client devices, specifying multiple variables including sets of sources, items, and associated quantities. The program also collects offers from the sources, each highlighting the items, prices, and quantities. By generating linear programming models based on defined scenarios, the program effectively directs solvers to process these models. The similar second patent outlines a program that optimizes requests by receiving values and generating linear programming models accordingly, all while accommodating defined scenarios.

Career Highlights

Currently, Swapnil Laddha is a valuable team member at SAP SE, where he applies his expertise to innovate and improve operational efficiencies. His work has not only contributed to his company's goals but has also propelled advancements in the field of linear programming.

Collaborations

Throughout his career, Swapnil has collaborated with esteemed colleagues such as Ajay Jose and Aarathi Vidyasagar. These professional relationships have fostered a creative environment, allowing for synergistic efforts in tackling complex problems within the realm of optimization.

Conclusion

Swapnil Laddha continues to exemplify innovation in technology through his groundbreaking work in linear programming. His patents not only enhance sourcing efficiency but also contribute to a deeper understanding of optimization methodologies in programming. As he advances in his career, the impact of his inventions is poised to grow, further establishing his legacy as a prominent inventor in his field.

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