Shounak Purkayastha

Title: Shounak Purkayastha: Innovator in Textual Data Labeling

Introduction

Shounak Purkayastha is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of data labeling, particularly in the context of textual training data. His innovative approach aims to enhance the efficiency of sentiment analysis and other labeling processes.

Latest Patents

Shounak holds a patent for a method titled "Method for filtering and semi-automatically labeling training data." This method provides an efficient way to assign sentiments or manual labels to textual training data. It utilizes an embedding model to project user text into an embedding vector within an embedding space. By calculating distances, such as cosine similarities, between this vector and those of already-labeled training examples, the method identifies the closest match. The label from the nearest example can then be prospectively applied to the new text, allowing for user approval or modification.

Career Highlights

Shounak Purkayastha is currently employed at ServiceNow, Inc., where he continues to develop innovative solutions in data processing and machine learning. His work focuses on improving the accuracy and efficiency of training data labeling, which is crucial for the development of advanced language models.

Collaborations

Shounak collaborates with talented individuals such as Ziaul Hasan Hashmi and Mitul Tiwari. Together, they contribute to the advancement of technologies that streamline data handling and enhance machine learning capabilities.

Conclusion

Shounak Purkayastha is a notable inventor whose work in filtering and labeling training data is paving the way for more efficient machine learning processes. His contributions are essential in the evolving landscape of data science and artificial intelligence.