Bendang Imsong is a Machine Learning Engineer with eight years of experience specializing in computer vision and deep learning, currently applying his skills at Hubs in Amsterdam. He has a strong practical background building and refining vision models from research prototypes to production-ready code during roles at CamCom and earlier startups. An active open-source contributor, he implemented Keras-based image outpainting enhancements—improving architectures, loss functions, instance normalization, and data pipelines—demonstrating attention to reproducibility and training robustness. Bendang blends hands-on model engineering with software engineering practices, often refactoring data loaders and fixing model-loading bugs to streamline experiments. He holds an MCA and a BCA from reputed Bangalore universities and enjoys contributing to open-source projects in his free time. Colleagues describe him as pragmatic and detail-oriented, with a knack for turning experimental ideas into maintainable code.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Computer Applications, Computer Science, Bachelor of Computer Applications, Computer Science at Kristu Jayanti College Of Management And Tech
Master of Computer Applications, Computer Science, Master of Computer Applications, Computer Science at Christ University, Bangalore
🏖 Keras Implementation of Painting outside the box
Role in this project:
ML Engineer
Contributions:21 commits, 1 PR, 10 pushes in 1 year 3 months
Contributions summary:Bendang contributed to a Keras-based image outpainting project, primarily working on the `outpaint.ipynb` notebook and related files. Their work included modifying the neural network architecture, updating the loss function, and refactoring the code to incorporate instance normalization. The user also added a data augmentation script and modified the data preparation and dataloader scripts. Additionally, they fixed the loading of the model.
Contributions:427 commits, 8 PRs, 293 pushes in 3 years 6 months
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