San Francisco, CA, United States of America

Alex Sorokin


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 38(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Alex Sorokin: Innovator in Crowdsourcing Performance Prediction

Introduction

Alex Sorokin is a notable inventor based in San Francisco, CA, who has made significant contributions to the field of crowdsourcing. His innovative work focuses on predicting the future performance of multiple workers on crowdsourcing tasks, which has implications for improving efficiency in job distribution platforms.

Latest Patents

Sorokin holds a patent titled "Predicting future performance of multiple workers on crowdsourcing tasks and selecting repeated crowdsourcing workers." This patent discloses systems and methods for a job distribution platform that aggregates performance data in a worker profile. The method involves generating and storing performance data when a worker performs tasks distributed online by a job distribution platform. This platform crowdsources tasks over a network to remote workers, allowing for the assignment of new jobs based on the collected performance data from both current and previous jobs. Sorokin's patent represents a significant advancement in optimizing the selection of workers for various tasks.

Career Highlights

Throughout his career, Alex Sorokin has been associated with Crowdflower, Inc., a company that specializes in crowdsourcing solutions. His work has contributed to the development of more effective job distribution systems that enhance the overall performance of crowdsourced tasks.

Collaborations

Some of Sorokin's notable coworkers include Christopher R Van Pelt and Ryan J Cox, who have collaborated with him on various projects within the realm of crowdsourcing and performance prediction.

Conclusion

Alex Sorokin's innovative contributions to the field of crowdsourcing through his patent and work at Crowdflower, Inc. highlight his role as a key figure in enhancing the efficiency of job distribution platforms. His efforts continue to shape the future of how tasks are assigned and managed in the crowdsourcing industry.

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