Shubham Chaudhary is a Senior Machine Learning Engineer with 13 years of experience building production ML systems, currently driving embedding-based recommendation models at Scribd. He has a strong full-stack ML background from leading machine learning efforts at Zomato—shipping factorization-machine recommenders, image classification and aesthetic scoring ensembles, and scalable review-spam and credibility systems. Equally comfortable with model research and engineering, he has published ML papers (including ACM work on aspect extraction) and implemented production pipelines with Docker, gRPC, ELB and Ansible. Early career Android and systems work (notably refactoring an image-processing SDK and optimizing Zomato’s apps) gives him practical strengths across mobile, backend APIs and data pipelines. An active open-source contributor and founder of developer initiatives, he blends rigorous experimentation with pragmatic deployment to turn research into reliable, scalable products.
AndroidPhotoFilters aims to provide fast, powerful and flexible image processing instrument for creating awesome effects on any image media.
Role in this project:
Mobile Developer (Android)
Contributions:2 releases, 17 commits, 9 PRs in 2 years 5 months
Contributions summary:Shubham primarily focused on refactoring and reorganizing code within the Android photo filter SDK. Their contributions included changes to the `ImageProcessor` class, native image processing functions, and the `ThumbnailsAdapter`, which is used to display image filters. The commits demonstrate a focus on improving the efficiency and structure of the image processing pipeline within the Android application.
Contributions:164 commits, 1 PR, 38 pushes in 8 months
event-detectionandroidbusandroid-applicationcarts
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Shubham Chaudhary - Senior Machine Learning Engineer at Scribd