Evan Petridis

Title: Innovations by Evan Petridis in Automated Machine Learning

Introduction

Evan Petridis is an accomplished inventor based in Palo Alto, California. He has made significant contributions to the field of automated machine learning (AutoML), focusing on optimizing machine learning models for hardware efficiency. With two patents to his name, Petridis is at the forefront of innovation in this rapidly evolving domain.

Latest Patents

Evan Petridis holds two notable patents. The first patent is for a "Hardware-aware automated machine learning (AutoML) model creation and optimization." This invention involves creating and optimizing machine learning models using a model store that contains trained models, hardware models, and corresponding test metrics data. It utilizes model meta-services to access stored models and create ML meta-models based on runtime test metrics data. The second patent focuses on "Performance metrics of run-time predictions of automated machine learning (AutoML) models run on actual hardware processors." This patent outlines systems and methods for optimizing trained ML hardware models by collecting training inputs and outputs, selecting model architectures, and creating trained ML hardware models. The optimization process is enhanced by runtime test metrics data, ensuring that the models perform efficiently on actual hardware.

Career Highlights

Evan Petridis is currently employed at Eta Compute, Inc., where he continues to develop innovative solutions in machine learning. His work emphasizes the importance of hardware-aware models, which are crucial for improving the performance of machine learning applications in real-world scenarios.

Collaborations

Evan collaborates with talented individuals such as Justin Ormont and Luan Nguyen, contributing to a dynamic team environment that fosters innovation and creativity.

Conclusion

Evan Petridis is a key figure in the field of automated machine learning, with patents that reflect his commitment to enhancing model optimization for hardware. His work at Eta Compute, Inc. and collaborations with fellow innovators position him as a leader in this transformative area of technology.