Tarry Singh is a software engineer with nine years of experience specializing in systems-level work across data, databases, infrastructure, and cloud. Rooted in an unusual mix of nautical engineering, astronomy, math and physics, he brings a research-oriented mindset to production engineering. He is an active open-source contributor, notably implementing data-processing and HDF5 conversion scripts for BigGAN workflows and building tooling for model training and sampling. Based in Assen, Netherlands, Tarry focuses on scalable backend solutions that bridge ML research and operational systems, often tackling data hygiene and reproducible training pipelines that don't make the headlines.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Role in this project:
Backend Developer
Contributions:1373 commits, 3 PRs, 940 pushes in 5 years 6 months
Contributions summary:Tarry primarily contributed to the BigGAN-PyTorch project, with the main focus on implementing features related to data processing and model training, specifically creating scripts to convert datasets into HDF5 format. The user also developed scripts for launching and sampling BigGAN models and implemented utils for duplicate logs and data preparation.
Contributions:51 commits, 26 pushes, 1 branch in 4 days
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