Abhishek Bhowmick

Title: Abhishek Bhowmick: Innovator in Machine Learning and Privacy Technologies

Introduction

Abhishek Bhowmick is a prominent inventor based in San Francisco, CA, known for his significant contributions to machine learning and privacy technologies. With a total of 13 patents to his name, Bhowmick has made strides in developing innovative solutions that enhance the accuracy and privacy of data processing.

Latest Patents

One of Bhowmick's latest patents is titled "Distributed labeling for supervised learning." This invention provides a technique to crowdsource labeling of training data for machine learning models while ensuring the privacy of the data provided by participants. Client devices can generate proposed labels for data units, and privacy mechanisms protect user data during transmission to a server. The server aggregates the proposed labels and uses the most frequently suggested labels to create training data, ultimately improving the model's accuracy.

Another notable patent is "Maintaining differential privacy for database query results." This technology addresses the challenge of maintaining privacy when querying databases containing user data. It determines if a query is permitted based on a privacy policy and ensures that the query does not exceed a predefined budget. The technology selects a differential privacy algorithm based on the query type and applies it to generate differentially private results, which are then provided to the user.

Career Highlights

Abhishek Bhowmick is currently employed at Apple Inc., where he continues to innovate in the fields of machine learning and data privacy. His work at Apple has positioned him as a key player in developing technologies that balance user privacy with the need for accurate data analysis.

Collaborations

Bhowmick has collaborated with notable colleagues, including Umesh Suresh Vaishampayan and Andrew H Vyrros, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Abhishek Bhowmick's contributions to machine learning and privacy technologies reflect his commitment to advancing the field while prioritizing user privacy. His innovative patents and work at Apple Inc. underscore his role as a leading inventor in today's technology landscape.