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Will Farlessyost

Will Farlessyost

Undergraduate Research Assistant – NSF-REU on Collaborative Human-Robot Interaction (University of Nevada, Reno)

USA flagWest Lafayette, Usa
Entry Level

Key Skills

Software

No software listed

Top Subject Matter

Social Trait Recognition in Facial Images

Top Data Types

ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

Undergraduate Research Assistant – NSF-REU on Collaborative Human-Robot Interaction (University of Nevada, Reno). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include TensorFlow. Education includes Doctor of Philosophy, Purdue University (2025) and Bachelor of Science in Engineering, University of North Carolina Asheville (2020). AI-training focus includes data types such as Image and labeling workflows including Classification.

Entry Level

Labeling Experience

Undergraduate Research Assistant – NSF-REU on Collaborative Human-Robot Interaction (University of Nevada, Reno)

ImageClassification
I developed multi-task convolutional neural networks for multi-label classification and regression to recognize social traits in facial images. The role involved annotating facial images with social trait labels for AI model training. I worked with TensorFlow to create datasets with labeled image features for training and evaluation purposes. • Labeled facial image data for social trait classification • Used TensorFlow for creating labeled datasets • Worked on multi-label and multi-output regression problems • Focused on improving model accuracy through data quality

I developed multi-task convolutional neural networks for multi-label classification and regression to recognize social traits in facial images. The role involved annotating facial images with social trait labels for AI model training. I worked with TensorFlow to create datasets with labeled image features for training and evaluation purposes. • Labeled facial image data for social trait classification • Used TensorFlow for creating labeled datasets • Worked on multi-label and multi-output regression problems • Focused on improving model accuracy through data quality

2019 - 2019

Education

P

Purdue University

Doctor of Philosophy, Agricultural and Biological Engineering

Doctor of Philosophy
2020 - 2025
U

University of North Carolina Asheville

Bachelor of Arts, Applied Mathematics

Bachelor of Arts
2016 - 2020

Work History

P

Purdue University

Graduate Research Assistant

West Lafayette
2020 - Present
U

University of North Carolina Asheville

Undergraduate Research Assistant

Asheville
2019 - 2020