Company Filing History:
Years Active: 2025
Title: **Inventor Spotlight: Ashutosh K. Sureka**
Introduction
Ashutosh K. Sureka is an accomplished inventor based in Irving, TX, who has significantly contributed to the field of image processing through innovative machine-learning technologies. With a total of six patents to his name, his work has the potential to enhance how computing devices recognize and interpret visual data.
Latest Patents
One of Ashutosh’s notable patents focuses on "Machine-learning models for image processing." This invention presents systems and methods for utilizing machine learning in extracting information from images. The method involves obtaining video data comprising multiple frames of a document type. By executing an object recognition engine that detects document edges, the system identifies boundaries pertinent to the document. Once validated, the document type is confirmed, and the image data is transmitted over networks to a remote computer. This innovative approach demonstrates Ashutosh's commitment to advancing technology in practical and meaningful ways.
Career Highlights
Currently, Ashutosh is employed at Citibank, N.A., where he applies his expertise in machine learning and image processing to enhance operational efficiencies. His career demonstrates a strong blend of technical skills and innovative thinking, driving the development of groundbreaking tools and methodologies in his field.
Collaborations
Throughout his career, Ashutosh has had the privilege of working alongside talented individuals, including Venkata Sesha Kiran Kumar Adimatyam and Miriam Silver. These collaborations have likely enriched his work and provided diverse insights into the challenges and opportunities within the realm of technological innovation.
Conclusion
With a strong foundation in machine learning and a focus on practical applications in image processing, Ashutosh K. Sureka is an inspiring figure in the inventor community. His contributions not only push the boundaries of technology but also pave the way for future advancements in how machines perceive and process visual information.