Jacob Solawetz
Advisor at Arcee AI
United States
Summary
🤩
Rockstar🎓
Top SchoolJacob Solawetz is an AI-focused engineering leader and advisor with 11 years of experience building and scaling ML products and deployment pipelines. He co-founded and served as CTO of Arcee AI and was a founding engineer at Roboflow, where he later returned as an advisor—bridging hands-on model work with product and platform strategy. His open-source contributions include practical MLOps improvements to Roboflow’s high-visibility notebooks, notably updating and demonstrating YOLOv8/v5 training and deployment workflows that help teams move vision models to production. Trained across mathematics, economics, philosophy, and computer science at Washington University in St. Louis, he combines analytical rigor with product intuition. Colleagues know him for translating research-grade models into robust, reproducible deployment patterns and for a philosophical curiosity that informs pragmatic engineering decisions.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Mathematics, Economics, Philosophy, and Computer Science, Bachelor's degree, Mathematics, Economics, Philosophy, and Computer Science at Washington University in St. Louis
Spanish, Persian
Github Skills (10)
yolov810
continuous-deployment10
computer-vision10
pytorch10
yolov510
deeplearning-ai10
machine-learning10
deep-learning10
ml-deployment10
user-manual8
Programming languages (9)
Github contributions (5)
roboflow/notebooks
Dec 2022 - Feb 2023
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Role in this project:
MLOps Engineer & ML Engineer
MLOps Engineer & ML EngineerContributions:14 commits, 10 PRs, 12 pushes in 1 month
Contributions summary:Jacob primarily focused on updating and demonstrating the use of YOLOv8 and YOLOv5 models for object detection within the Roboflow ecosystem. Their contributions involved updating the YOLOv8 version used in the training notebooks, demonstrating deployment workflows, and demonstrating external model deployment to Roboflow. The user also reinstated sections of the YOLOv5 training notebooks. The changes showcase an emphasis on model deployment and integration with the Roboflow platform.
computer-visionresnetdeep-learningdeep-neural-networksimage-classification
roboflow/roboflow-python
Aug 2021 - Jan 2023
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
Contributions:12 releases, 72 reviews, 152 commits in 1 year 5 months
computer-visionpythonroboflowmachine-learningdeep-learning
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