Company Filing History:
Years Active: 2021-2024
Title: Harshil Shah: Innovator in Machine Learning and Document Analysis
Introduction
Harshil Shah is a prominent inventor based in Pune, India. He has made significant contributions to the field of machine learning, particularly in the area of document analysis. With a total of two patents to his name, Harshil is recognized for his innovative approaches to automating training and selection processes in machine learning.
Latest Patents
Harshil's latest patents focus on the automated training and selection of models for document analysis. These embodiments are directed to a machine learning engine that determines training documents and validation documents from a plurality of documents. The machine learning engine identifies attributes associated with the documents. Upon receiving a request to predict attribute values of a selected document, the engine trains multiple machine learning models to predict these values based on the training documents and associated attributes. Each trained model is assigned an accuracy score. The engine then determines candidate models based on these scores and evaluates them against the request and validation documents. Ultimately, confirmed models are generated to effectively answer the request.
Career Highlights
Harshil Shah is currently employed at Icertis, Inc., where he continues to develop innovative solutions in machine learning. His work has positioned him as a key player in the field, contributing to advancements that enhance document analysis processes.
Collaborations
Harshil collaborates with talented coworkers, including Dhruv Chaudhari and Amitabh Jain. Together, they work on various projects that push the boundaries of machine learning applications.
Conclusion
Harshil Shah's contributions to machine learning and document analysis demonstrate his commitment to innovation. His patents reflect a deep understanding of the complexities involved in automating model training and selection. Harshil's work continues to influence the field and pave the way for future advancements.