Tanishq Abraham
Chief Executive Officer at Kaggle
Davis, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTanishq Abraham is a biomedical engineer and AI leader who earned a PhD at 19 and now serves as CEO of Sophont, building multimodal medical foundation models for healthcare. He founded and led MedARC, directed research at Stability AI, and contributes to CarperAI and EleutherAI, bridging academic rigor with open collaborative AI research. His work on virtual staining and slide-free microscopy has been presented at ICML and NeurIPS and is supported by a growing citation record and book chapters in medical AI. An active Kaggle Grandmaster and fastai contributor, he combines hands-on deep learning implementation (including optimizer and PyTorch compatibility fixes) with high-impact community content. He began college-level studies as a preteen and brings a rare mix of prodigious technical depth, teaching and mentorship experience, and public-facing science communication. Colleagues describe him as a youthful but seasoned researcher who turns cutting-edge papers into production-ready tools for medical imaging.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Biomedical Engineering, Doctor of Philosophy - PhD Biomedical Engineering at University of California, DavisAssociate of Science (AS) Math & Physical Sciences, Associate of Science (AS) Math & Physical Sciences at American River College
malayalam (understands spoken language, limited conversational), spanish (understands written & spoken form but limited speaking fluency), hindi (moderate understanding of spoken language)
Github Skills (5)
pytorch10
machine-learning10
fastai10
deep-learning10
python10
Programming languages (7)
Github contributions (5)
fastai/fastai
Jul 2020 - Jul 2022
The fastai deep learning library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 36 commits, 18 PRs in 1 year 11 months
Contributions summary:Tanishq primarily contributed to the fastai deep learning library by addressing PyTorch compatibility issues, fixing errors, and adding features. Their commits focused on modifying existing code to support newer PyTorch versions, and correcting a typo in a tensorboard notebook. The user also implemented a dicom file extension for get_dicom_files and added weight decay parameters. Further commits focused on optimizer improvements and adding functionality to a save model callback.
pytorchpythondeep-learninggpumachine-learning
tmabraham/diffusion_reading_group
Sep 2022 - Jan 2023
Diffusion Reading Group at EleutherAI
Contributions:53 commits, 3 PRs, 59 pushes in 4 months
pytorchdreamboothreading-groupstablediffusionmachine-learning
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