Alec Helbling
Student
Pittsburgh, Pennsylvania, United States
Summary
🤩
RockstarAlec Helbling is a Computer Science student at Georgia Tech with a decade of hands-on software experience focused on visualization and front-end engineering. Based in Pittsburgh, he contributes to open-source projects that blend scientific and educational tooling, including visual machine learning animations in ManimML and UI/interaction enhancements for the WebGL molecular viewer 3Dmol.js. He has implemented clear, pedagogical visualizations for neural networks, autoencoders, and VAEs, and improved user controls and rendering for complex WebGL viewers. Alec combines an eye for UI/UX detail with machine learning intuition, making abstract models accessible through animation and interactive interfaces. Comfortable working across JavaScript and visualization stacks, he favors practical contributions that improve clarity and user experience in scientific software.
10 years of coding experience
Github Skills (19)
javascript10
jquery10
python10
variational-autoencoder10
autoencoder10
manim10
html10
neural-network10
user-interface9
ui-design9
interface-design9
machine-learning9
css9
modeling8
graphic8
Programming languages (5)
Github contributions (5)
helblazer811/ManimML
Jan 2022 - Jan 2023
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Role in this project:
ML Engineer
ML EngineerContributions:2 releases, 77 commits, 3 PRs in 1 year
Contributions summary:Alec primarily contributed to the ManimML project by implementing and refining visualizations for machine learning concepts. They made animations for neural network flow, autoencoders, and variational autoencoders (VAEs), demonstrating a focus on the visual representation of machine learning models. The user also worked on generating and visualizing interpolations within the latent space of a VAE, improving the visual clarity of the project.
pythonmachine-learningneural-networkfocusedvisualizations
3dmol/3Dmol.js
Dec 2016 - Aug 2017
WebGL accelerated JavaScript molecular graphics library
Role in this project:Front-end Developer
Front-end DeveloperContributions:113 commits, 60 PRs, 25 pushes in 8 months
Contributions summary:Alec focused on enhancing the user interface and functionality of the 3Dmol.js library. They implemented features for building and updating an HTML tree for the viewer, along with adding and managing various selection and style specifications. The user also made improvements to the rendering and user interaction elements by adding buttons to control viewer actions.
webglpdb-filesgraphics-libraryjavascriptaccelerated
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