San Francisco, CA, United States of America

Krishna Kumar Selvam

USPTO Granted Patents = 11 

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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11 patents (USPTO):

Title: Innovations of Krishna Kumar Selvam

Introduction

Krishna Kumar Selvam is an accomplished inventor based in San Francisco, CA. He holds a total of 11 patents, showcasing his expertise in machine learning and predictive modeling. His innovative contributions have significantly impacted the fields of customer service and order fulfillment.

Latest Patents

One of his latest patents is titled "Machine learning assisted alerts for item picking." This invention involves a machine-learned predictive model that predicts the potential for customer complaints. The model is integrated into an online concierge system that accesses customer orders and determines input data for items. It provides prediction values to picker client devices, which present alerts to mitigate potential customer complaints.

Another notable patent is "Machine learning model for predicting wait times to receive orders at different locations." This system identifies a shopper's current location and uses a machine learning model to predict wait times for order fulfillment. It considers various input features, including the number of orders and available shoppers, to provide accurate wait time predictions to the shopper's client device.

Career Highlights

Krishna has worked with prominent companies such as Lyft, Inc. and Maplebear Inc. His experience in these organizations has allowed him to refine his skills in developing innovative solutions that enhance customer experiences.

Collaborations

Throughout his career, Krishna has collaborated with talented individuals, including Austin Broyles and Robert Anthony Farmer. These partnerships have contributed to the successful development of his patented technologies.

Conclusion

Krishna Kumar Selvam's contributions to machine learning and predictive modeling have made a significant impact on customer service and order fulfillment. His innovative patents reflect his dedication to improving user experiences through technology.

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