Issaquah, WA, United States of America

Sergei Dobroshinsky

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2022-2024.


% Patents Active = 100.0

Average Co-Inventor Count = 15.0

ph-index = 1

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Sergei Dobroshinsky

Introduction

Sergei Dobroshinsky is an accomplished inventor based in Issaquah, WA (US). He has made significant contributions to the field of machine learning, particularly in the context of ETL (Extract, Transform, Load) jobs. With a total of two patents to his name, Dobroshinsky's work is recognized for its innovative approach to configuring machine learning pipelines.

Latest Patents

Dobroshinsky's latest patents focus on using specified performance attributes to configure machine learning pipeline stages for ETL jobs. These patents detail how performance attributes can be utilized to configure machine learning transformations, enhancing the efficiency of ETL processes. The configured stages are instrumental in training models, which can then be applied during transformation operations in ETL systems.

Career Highlights

Currently, Sergei Dobroshinsky is employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology. His work is characterized by a commitment to improving machine learning applications and their integration into data processing workflows.

Collaborations

Throughout his career, Dobroshinsky has collaborated with notable colleagues, including Timothy Jones and Andrew Borthwick. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Sergei Dobroshinsky's contributions to machine learning and ETL processes exemplify the impact of innovative thinking in technology. His patents reflect a deep understanding of performance attributes and their application in real-world scenarios.

Profile summary based on public USPTO records.
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