Cambridge, United Kingdom

Siddharth Krishna

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Siddharth Krishna. Retrieved from https://idiyas.com/inventor/siddharth-krishna

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Siddharth Krishna: Pioneering Machine Learning Execution Pipelines

Introduction: Siddharth Krishna, an accomplished inventor based in Cambridge, Great Britain, has made significant contributions to the field of machine learning through his innovative patent. With one patent to his name, Siddharth exemplifies the dynamic spirit of innovation at Microsoft Technology Licensing, LLC, where he works.

Latest Patents: Siddharth's notable patent, titled "Partitioning for an Execution Pipeline," introduces a sophisticated method to enhance machine learning model efficiency. The invention involves accessing a computation graph of a machine learning model from memory and utilizing a constraint solver to compute a partition. This partition divides the computation graph into ordered stages for an execution pipeline. The key advantage lies in balancing the execution cost of the stages based on the computed partition during inference or training of the model.

Career Highlights: As part of Microsoft Technology Licensing, LLC, Siddharth has positioned himself among leading innovators in the technology sector. His work significantly contributes to advancing machine learning technologies, which have become increasingly vital in various applications worldwide.

Collaborations: Throughout his career, Siddharth has had the opportunity to collaborate with talented colleagues such as Ryota Tomioka and Juliana Patrícia Vicente Franco. These collaborations have fostered an environment of creativity and innovation, enabling the development of groundbreaking ideas and solutions.

Conclusion: Siddharth Krishna's contributions to machine learning, particularly through his patent on execution pipelines, reflect his commitment to pushing the boundaries of technology. His work not only demonstrates his ingenuity as an inventor but also his dedication to enhancing the efficiency and effectiveness of machine learning models within the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…