Eric Hofesmann
Machine Learning Engineer at Voxel51
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Hofesmann is a Machine Learning Engineer with nine years of experience specializing in computer vision and practical ML tooling, currently founding the MLE team at Voxel51 to build open-source data engines. He holds degrees in physics, computer science, and machine learning and has applied that cross-disciplinary background to problems from gamma-ray burst analysis to medical imaging and video understanding. At Voxel51 he contributes to widely used tools like fiftyone, enhancing label integrations and CLI workflows to streamline annotation management and dataset refinement. His work blends research-grade model development (video action recognition, 3D CNNs) with production-minded backend engineering, including refactors and bug fixes that improve real-world labeling pipelines. Based in Ann Arbor, he pairs deep technical rigor with a knack for making complex ML workflows repeatable and developer-friendly.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science specializing in Artificial Intelligence, 3.93, Master's degree, Computer Science specializing in Artificial Intelligence, 3.93 at University of MichiganBachelor’s Degree, Computer Science, 4.0, Bachelor’s Degree, Computer Science, 4.0 at College of Charleston
English, German
Stackoverflow
544reputation
35kreached
25answers
0questions
Github Skills (15)
api10
python10
api-design10
computer-engineering9
databases8
sql-database8
data-integration8
object-detection6
computer-vision6
pytorch6
mlops6
artificial-intelligence6
cvat6
fiftyone6
datasets6
Programming languages (6)
Github contributions (5)
voxel51/fiftyone
Jun 2020 - Jan 2023
Refine high-quality datasets and visual AI models
Role in this project:
Backend Developer
Backend DeveloperContributions:265 reviews, 1143 commits, 220 PRs in 2 years 7 months
Contributions summary:Eric's commits focused on enhancing the Labelbox integration within the fiftyone/fiftyone repository. The primary contribution involves adding features related to handling multiple annotation fields, including support for a new `ground_truth_edits` label field. The user also implemented features to manage existing annotations, delete labels, and added a command-line interface to upload existing annotations, demonstrating a solid understanding of the integration and extension of existing code. Key improvements also included refactoring code and fixes for a specific CVAT labeling bug.
pytorchpythonvisiondata-sciencedeep-learning
voxel51/lightning-flash
May 2021 - Jun 2021
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
Contributions:1 review, 69 commits, 9 PRs in 1 month
pytorchsolvingfast-prototypingfinetuningdeep-learning
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