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galenballew/README.md




8 years of professional experience in engineering and technical leadership. Demonstrated track records of success in programming end-to-end machine learning pipelines, designing enterprise-scale cloud platforms, developing strategic roadmaps, and building consensus across leadership, engineering, and business stakeholders.

I have expertise in Python, machine learning, artificial intelligence, MLOps, and fine-tuning / prompt-tuning large foundation models. Projects particularly interesting to me involve computer vision, robotics, autonomous systems, multi-modal models, and agent-based systems.


Python | ML/AI | MLOps | Kubernetes | AWS | GCP




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  1. SDC-Lane-and-Vehicle-Detection-Tracking SDC-Lane-and-Vehicle-Detection-Tracking Public

    OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

    Jupyter Notebook 238 142

  2. transfer-learning transfer-learning Public

    Repurposing InceptionV3, VGG16, and ResNet50 using bottlenecking

    Jupyter Notebook 21 5

  3. Traffic-Sign-CNN Traffic-Sign-CNN Public

    Deep learning network for traffic sign image classification

    Jupyter Notebook 15 7

  4. behavioral-cloning behavioral-cloning Public

    CNN trained on human driving to predict steering angle for video game car

    Jupyter Notebook 10 7

  5. Fractal-Interactive Fractal-Interactive Public

    Unity3d build of fractal generator

    C# 4

  6. Metaselfie Metaselfie Public

    Maya build files for Metaselfie

    Mathematica