San Jose, CA, United States of America

Avinash Mayank Vakil

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: The Aerospace Corporation. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Avinash Mayank Vakil: Innovator in Machine Learning

Introduction

Avinash Mayank Vakil is a prominent inventor based in San Jose, California. He has made significant contributions to the field of machine learning, particularly in enhancing operational neural network performance.

Latest Patents

Avinash holds a patent titled "Operational neural network performance via feature space analysis." This patent involves systems and methods for generating supplemental or updated machine learning models based on the analysis of feature space data observed at inference time using an existing machine learning model. He has 1 patent to his name.

Career Highlights

Avinash is currently employed at The Aerospace Corporation, where he applies his expertise in machine learning to advance aerospace technologies. His work focuses on improving the efficiency and effectiveness of neural networks in various applications.

Collaborations

Some of Avinash's notable coworkers include Benjamen Paul Bycroft and Ryan Scott Williams. Their collaborative efforts contribute to the innovative environment at The Aerospace Corporation.

Conclusion

Avinash Mayank Vakil is a key figure in the realm of machine learning, with a focus on operational neural networks. His contributions through patents and collaboration with talented colleagues highlight his commitment to innovation in technology.

Profile summary based on public USPTO records.
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