This inventor holds 2 USPTO granted patents. Top assignee: Toshiba Tec Kabushiki Kaisha. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Lake Forest, CA (US) (2020)
- Irvine, CA (US) (2020)
Company Filing History:
Years Active: 2020
Title: Innovations by Sai Geetha Kandepalli Cherukuru
Introduction
Sai Geetha Kandepalli Cherukuru is an accomplished inventor based in Lake Forest, CA (US). He holds 2 patents that showcase his expertise in document processing and machine learning technologies. His innovative contributions have significantly impacted the field of document management.
Latest Patents
Cherukuru's latest patents include a "System and method for determining recipient information from a document." This invention involves a scanner that captures document images and a processor that utilizes optical character recognition to extract recipient contact information. The system generates a user-selectable list of recipients and transmits the document using the appropriate modality based on the recipient's contact details.
Another notable patent is the "System and method for machine learning based restrictive device operation." This multifunction peripheral features a processor and memory that store boundary data defining acceptable document processing jobs. The processor analyzes incoming jobs against this data, selectively performing tasks based on machine learning insights regarding document content and metadata.
Career Highlights
Cherukuru is currently employed at Toshiba Tec Kabushiki Kaisha, where he continues to develop innovative solutions in document processing. His work has contributed to advancements in the efficiency and accuracy of document management systems.
Collaborations
Some of his notable coworkers include Brendon Wai and Kevin T Nguyen, who collaborate with him on various projects within the company.
Conclusion
Sai Geetha Kandepalli Cherukuru is a prominent inventor whose work in document processing and machine learning has led to significant advancements in the field. His patents reflect a commitment to innovation and efficiency in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
