This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Paypal, Inc.. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Geethamanjusha Melanathurbhaskar: Innovator in Fraud Detection Technology
Introduction
Geethamanjusha Melanathurbhaskar is a notable inventor based in Tamil Nadu, India. He has made significant contributions to the field of technology, particularly in the area of fraud detection during online transactions. His innovative approach utilizes machine learning to enhance security in cross-location online transaction processing.
Latest Patents
Geethamanjusha holds a patent for a "Machine learning engine for fraud detection during cross-location online transaction processing." This invention employs artificial intelligence techniques to identify potentially fraudulent transactions based on the item and location of purchase. The system assesses the propensity of an account to purchase within a specific vertical in a new location, as well as the merchant's propensity to sell to that account. This comprehensive risk assessment helps determine whether to proceed with transaction processing, thereby enhancing security for users.
Career Highlights
Geethamanjusha is currently employed at PayPal, Inc., where he continues to develop innovative solutions for online transaction security. His work focuses on integrating advanced machine learning techniques to improve fraud detection mechanisms. With a patent portfolio that includes 1 patent, he is recognized for his contributions to the field.
Collaborations
Geethamanjusha collaborates with various professionals in the tech industry, including his coworker Dinesh Kumar. Together, they work on enhancing the capabilities of fraud detection systems and improving user experience in online transactions.
Conclusion
Geethamanjusha Melanathurbhaskar is a pioneering inventor whose work in machine learning and fraud detection is shaping the future of online transaction security. His innovative solutions are vital in combating fraud in an increasingly digital world.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
