Dublin, Ireland

Adam Starikiewicz

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Adam Starikiewicz: Innovator in Machine Learning Solutions

Introduction

Adam Starikiewicz is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of machine learning, particularly through his innovative patents. With a total of 2 patents, Starikiewicz is recognized for his work in developing systems that enhance the usability of machine learning technologies.

Latest Patents

One of Adam Starikiewicz's latest patents is a Multi-client service system platform. This modular machine learning-as-a-service (MLAAS) system is designed to respond to tasks without requiring users to have machine learning modeling or design knowledge. The MLAAS system processes inference requests that include a model identifier and a target defining features for evaluation. By generating inference outcomes based on these requests, the system can provide feedback on accuracy, which is then used to create a training data set for further model training. This innovative approach limits the training of machine learning models to data resulting from specific inferences, making the technology more accessible to users.

Career Highlights

Adam Starikiewicz is currently employed at HubSpot, Inc., where he continues to develop and refine his innovative ideas. His work at HubSpot allows him to collaborate with other talented professionals in the tech industry, further enhancing his contributions to machine learning.

Collaborations

Some of his notable coworkers include George Banis and Kevin M Walsh. Their collaboration fosters a creative environment that encourages the development of cutting-edge solutions in the field of technology.

Conclusion

In summary, Adam Starikiewicz is a prominent inventor whose work in machine learning is paving the way for more user-friendly applications of this technology. His contributions are significant in making machine learning accessible to a broader audience.

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