This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, 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: MD Bahlul Haider: Machine Learning Pipeline Innovation.
Introduction
MD Bahlul Haider is an inventor based in Redmond, Washington. His patent work addresses how machine-learning artifacts can be shared and deployed efficiently through optimized pipelines.
Latest Patents
Haider is associated with 1 patent: “Machine learning artifact sharing and optimized pipeline deployment.” The invention stores metadata for registered machine-learning artifacts and represents a pipeline using nodes corresponding to those artifacts. When a pipeline is defined without specifying its computing resources, benchmarking helps select suitable resource types for its nodes, and the benchmarking results are provided.
Career Highlights
Haider is associated with Amazon Technologies, Inc. His patent reflects work on streamlining machine-learning pipeline configuration and resource selection.
Collaborations
His listed coworkers include Sunny Dasgupta and Anirban Roy.
Conclusion
MD Bahlul Haider’s patent focuses on making machine-learning artifacts easier to organize and pipelines more efficiently deployable through benchmarking-based resource selection.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile