This inventor holds 4 USPTO granted patents and 6 published patent applications. Top assignee: Applied Materials, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sachin Dangayach: Innovator in Wafer Defect Classification
Introduction
Sachin Dangayach is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of semiconductor manufacturing, particularly in the area of defect detection and classification of processed wafers. His innovative approach leverages machine learning to enhance the efficiency and accuracy of wafer processing.
Latest Patents
Sachin holds a patent for a method and apparatus for defect classification of processed wafers. This patent outlines a comprehensive method for training a learning model aimed at automatic defect detection and classification. The process involves receiving labeled images with defect classification types and features, creating a training set, and training the machine learning model to classify wafer portions based on detected defects. Additionally, it includes the use of labeled wafer profiles to determine downstream yield data, further refining the model's capabilities.
Career Highlights
Sachin is currently employed at Applied Materials, Inc., a leading company in the semiconductor industry. His work focuses on advancing technologies that improve wafer processing and defect management. With a patent portfolio that includes 1 patent, he has established himself as a key player in the innovation landscape of semiconductor manufacturing.
Collaborations
Throughout his career, Sachin has collaborated with talented professionals, including Rahul Reddy Komatireddi and Rohith Cherikkallil. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies in the field.
Conclusion
Sachin Dangayach's contributions to wafer defect classification exemplify the intersection of innovation and technology in the semiconductor industry. His work not only enhances manufacturing processes but also sets a precedent for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
