This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2021-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2023
Title: Innovations by Mohammad Zeeshan Siddiqui
Introduction
Mohammad Zeeshan Siddiqui is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning and data processing, holding a total of 3 patents. His work focuses on enhancing the efficiency and effectiveness of gradient boosting decision trees and machine learning frameworks.
Latest Patents
One of his latest patents is titled "Categorical feature enhancement mechanism for gradient boosting decision tree." This invention involves a computer-implemented method for generating a gradient boosting decision tree that optimizes predictions by finding split points through sorting variable values based on their gradient during training. It also addresses overfitting by combining low population feature values into a virtual bin, allowing for multiple split points on a node.
Another notable patent is "Efficient streaming based lazily-evaluated machine learning framework." This invention provides methods and systems for lazy evaluation of input data within a machine learning framework. The ML pipeline compiles a chain of operators into dataviews for efficient processing, allowing for dynamic selection of delegates to fulfill data requests.
Career Highlights
Mohammad Zeeshan Siddiqui is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop advanced technologies. His expertise in machine learning and data processing has positioned him as a valuable asset in the tech industry.
Collaborations
He has collaborated with notable colleagues such as Thomas William Finley and Gary Shon Katzenberger, contributing to various projects and advancements in their respective fields.
Conclusion
Mohammad Zeeshan Siddiqui's innovative work in machine learning and data processing exemplifies the impact of modern technology on predictive analytics. His patents reflect a commitment to enhancing computational methods, making significant strides in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile