Ziaul Hasan Hashmi

Title: Ziaul Hasan Hashmi: Innovator in Textual Data Labeling

Introduction

Ziaul Hasan Hashmi is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of data processing, particularly in the area of labeling training data for machine learning applications. His innovative approach enhances the efficiency of sentiment analysis and other text classification tasks.

Latest Patents

Ziaul Hasan Hashmi 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 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 previously labeled training examples, the method identifies the closest match. The label from the nearest example can then be applied to the new text for user approval, streamlining the labeling process for training language models.

Career Highlights

Ziaul Hasan Hashmi is currently employed at ServiceNow, Inc., where he continues to develop innovative solutions in data processing. His work focuses on improving the efficiency of machine learning models through advanced data labeling techniques.

Collaborations

He collaborates with talented coworkers, including Mitul Tiwari and Soham Parikh, who contribute to the innovative environment at ServiceNow, Inc. Their teamwork fosters creativity and drives advancements in their projects.

Conclusion

Ziaul Hasan Hashmi's contributions to the field of data labeling exemplify the impact of innovation in technology. His patent and ongoing work at ServiceNow, Inc. highlight his commitment to enhancing machine learning processes.