Company Filing History:
Years Active: 2019-2023
Title: Avik Sinha: Innovator in Machine Learning and Taxonomy Generation
Introduction
Avik Sinha is a prominent inventor based in Seattle, WA, known for his contributions to machine learning and taxonomy generation. With a total of 4 patents, Sinha has made significant strides in the field of technology, particularly through his work at Amazon Technologies, Inc.
Latest Patents
Sinha's latest patents include a "Network-accessible service for exploration of machine learning models and results." This innovation involves analyzing a data structure generated during the training phase of a machine learning model, along with input records associated with the model's results. The process generates a first informational data set that indicates an alternative result, which is then transmitted to a presentation device for visual representation. In response to exploration requests, a second informational data set is provided, indicating observations from the training data set used for the model.
Another notable patent is "Taxonomy generation with statistical analysis and auditing." This invention outlines methods and systems for creating a hierarchical taxonomy of items in a marketplace. It involves determining a primary classification based on automated analysis of terms describing items, as well as generating secondary classifications. The hierarchical taxonomy is further refined based on user feedback, enhancing its accuracy and relevance.
Career Highlights
Avik Sinha has established himself as a key figure in the technology sector, particularly through his role at Amazon Technologies, Inc. His work focuses on advancing machine learning applications and improving the organization of marketplace items through effective taxonomy generation.
Collaborations
Sinha has collaborated with notable colleagues, including Archiman Dutta and Deepak Kumar Nayak, contributing to innovative projects that push the boundaries of technology.
Conclusion
Avik Sinha's contributions to machine learning and taxonomy generation highlight his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving data analysis and organization, making a significant impact in his field.