Leandro Alves is a notable inventor based in Woodland Hills, CA (US). He has made significant contributions to the field of online transaction security, holding 2 patents that focus on minimizing risks associated with digital payments.

Latest Patents

One of Leandro's latest patents is titled "Minimizing risks posed to online services." This innovative system processes payment requests between vendors and consumers by concurrently querying a database for historical transactions and personal attributes of the vendor, while also seeking credit information from third-party services about the consumer. The system then calculates a risk score for the transaction using a machine learning model, which helps determine whether to advance funds to the vendor before requesting payment from the consumer.

Another significant patent is "Computing system learning of a merchant category code." This method involves accessing a social media platform to gather information about a merchant and applying natural language processing to enhance a merchant terminology corpus. By calculating frequency values for merchant category codes, the system can effectively match the appropriate category code to the merchant.

Career Highlights

Leandro Alves is currently employed at Intuit, Inc., where he continues to develop innovative solutions for online transaction security. His work has been instrumental in enhancing the safety and efficiency of digital payment systems.

Collaborations

Leandro collaborates with talented individuals such as Eugene Bendersky and Shalini Gurram, contributing to a dynamic and innovative work environment.

Conclusion

Leandro Alves is a forward-thinking inventor whose work in online transaction security is paving the way for safer digital payment systems. His patents reflect a commitment to innovation and a deep understanding of the challenges faced in the online marketplace.