Company Filing History:
2 out of 166 
1 out of 305 
1 out of 635 
Years Active: 2020-2025
Title: Sudhir Chauhan: Innovator in Online Experimentation
Introduction
Sudhir Chauhan is a notable inventor based in Sunnyvale, California, recognized for his contributions to the field of online experimentation. With a total of four patents to his name, he has developed innovative methods that enhance the quality and reliability of online experiments.
Latest Patents
One of Sudhir Chauhan's latest patents is titled "Method and system for automatic detection and prevention of quality issues in online experiments." This invention focuses on managing online experiments by creating multiple experiment layers for various online users. Each layer consists of experiments with associated buckets for different features. The system collects user event data to automatically detect contaminated buckets, ensuring the integrity of the experiments.
Another significant patent is "Method and system for detecting data bucket inconsistencies for A/B experimentation." This invention addresses the issue of data bucket overlap in online experiments. It involves obtaining data sets representing identifiers associated with different buckets and determining overlaps. If the overlap exceeds a certain threshold, a data flag is generated to indicate inconsistencies in the experimental results.
Career Highlights
Throughout his career, Sudhir Chauhan has worked with prominent companies such as Yahoo Ad Tech LLC and Verizon Media Inc. His experience in these organizations has allowed him to refine his skills and contribute to advancements in online experimentation.
Collaborations
Sudhir has collaborated with talented individuals in his field, including Sundeep Narravula and Miao Chen. These collaborations have further enriched his work and led to innovative solutions in online experimentation.
Conclusion
Sudhir Chauhan's innovative patents and career achievements highlight his significant contributions to the field of online experimentation. His work continues to influence how experiments are conducted and analyzed in the digital landscape.