Soham Parikh

Title: Soham Parikh: Innovator in Textual Data Labeling

Introduction

Soham Parikh is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of machine learning and data processing. His innovative approach focuses on improving the efficiency of labeling training data for language models.

Latest Patents

Soham holds a patent titled "Method for filtering and semi-automatically labeling training data." This method provides an efficient way to assign sentiments or other 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

Soham Parikh is currently employed at ServiceNow, Inc., where he continues to develop innovative solutions in the tech industry. His work focuses on enhancing the capabilities of machine learning systems, particularly in the realm of natural language processing.

Collaborations

Soham collaborates with talented individuals such as Ziaul Hasan Hashmi and Mitul Tiwari. Together, they contribute to advancing the field of data labeling and machine learning.

Conclusion

Soham Parikh's innovative methods for labeling training data represent a significant advancement in machine learning. His contributions are paving the way for more efficient and effective language models.