Seema Chopra is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning, holding a total of 15 patents. Her innovative work focuses on developing methods that enhance the categorization and processing of natural language text.

Latest Patents

One of her latest patents is titled "Machine learning for categorizing text." This method involves selecting candidate keywords from a list of potential keywords based on natural language text. It also includes generating a list of candidate categories using a classification machine learning model and assigning a selected category based on a similarity score. Another notable patent is "Computing platform to architect a machine learning pipeline." This method provides a framework for architecting machine learning pipelines, including generating a graphical user interface and interconnecting software components to implement various phases in the machine learning lifecycle.

Career Highlights

Seema Chopra is currently employed at The Boeing Company, where she applies her expertise in machine learning to develop innovative solutions. Her work has been instrumental in advancing the company's capabilities in this rapidly evolving field.

Collaborations

Seema collaborates with talented individuals such as Akshata Kishore Moharir and Arvind Sundararaman, contributing to a dynamic and innovative work environment.

Conclusion

Seema Chopra's contributions to machine learning and her impressive portfolio of patents highlight her as a leading inventor in her field. Her work continues to influence advancements in technology and innovation.

Profile summary based on public USPTO records.

Please report any incorrect information to [email protected]