Scott Mueller
Technical Blog Author at AlongTheAxon.com
Salisbury, Maryland, United Kingdom
Summary
👤
Senior🎓
Top SchoolScott Mueller is a pragmatic software engineer and technical writer with eight years of experience building performant web applications and integrating machine learning into real-time, multi-channel systems. He blends hands-on implementation—rewriting Fast.ai Part 2 concepts into Elixir and contributing practical fastai2 notebooks—with architectural leadership in service-oriented and event-driven re-architectures for enterprise products. Scott has led cross-discipline teams to deliver real-time video action-recognition demos that unify Elixir streaming with PyTorch models, and he emphasizes economical, small-model solutions over hype for language interfaces. Comfortable across the stack, he pairs product-focused engineering with careful attention to operational constraints like event logging and incremental migration strategies. Based in Salisbury, MD, he presents his work publicly (ElixirConf US 2024) and writes a course on fine-tuning and reinforcement learning for open-source PyTorch models hosted in BEAM environments.
8 years of coding experience
7 years of employment as a software developer
University of Missouri
Github Skills (5)
computer-vision10
jupyter-notebook10
image-classification10
python9
deep-learning9
Programming languages (2)
Github contributions (5)
muellerzr/Practical-Deep-Learning-for-Coders-2.0
Apr 2020 - Jun 2020
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
Role in this project:
ML Engineer
ML EngineerContributions:6 commits in 2 months
Contributions summary:Scott's commits primarily involve modifications to Jupyter Notebooks related to computer vision tasks within the fastai2 framework. These changes include fixing code, adding examples, and adjusting parameters within image classification and other computer vision tutorials. The user's focus is on refining and improving existing notebooks related to practical deep learning techniques.
fastai
meanderingstream/dl_foundations_in_elixir
Oct 2022 - Nov 2022
Deep Learning from the Foundations with Elixir. This repository is a transformation of the 2022 version of Fast.ai's Deep Learning for Coders Part 2 into Elixir. These code notebooks follow the notebooks from the [first portion](https://github.com/fastai/course22p2) of the course.
Contributions:15 commits, 14 pushes, 1 branch in 1 month
deep-learningelixirfastai
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