Anton Emelyanov

Title: Anton Emelyanov: Innovator in Mining Software and Unsupervised Learning

Introduction

Anton Emelyanov is a notable inventor based in Seattle, WA, who has made significant contributions to the fields of mining software and unsupervised learning. With a total of two patents to his name, Emelyanov's work focuses on innovative techniques that enhance the efficiency and effectiveness of software development processes.

Latest Patents

Emelyanov's latest patents include "Mining software specification from online documentation" and "Techniques for unsupervised learning embeddings on source code tokens from non-local contexts." The first patent describes methods for generating rules from documentation by extracting chunks, inferring candidate rules, and classifying them for rule generation. The second patent outlines techniques for generating an abstract syntax tree (AST) from code, which helps in identifying terminals and generating a cooccurrence matrix for learning vector-space embeddings.

Career Highlights

Emelyanov is currently employed at Amazon Technologies, Inc., where he applies his expertise in software development and machine learning. His innovative approaches have contributed to advancements in the industry, particularly in the areas of mining software specifications and unsupervised learning techniques.

Collaborations

Some of his notable coworkers include Neela Sawant and Srinivasan Sengamedu Hanumantha Rao, who collaborate with him on various projects at Amazon Technologies, Inc.

Conclusion

Anton Emelyanov is a distinguished inventor whose work in mining software and unsupervised learning has made a significant impact in the tech industry. His innovative patents and contributions continue to shape the future of software development.