Shaurya Seth
Machine Learning Engineer at 48Hour Discovery
Edmonton, Alberta, Canada
Summary
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Senior🎓
Top SchoolShaurya Seth is a machine learning engineer with 9 years of experience applying AI to scientific problems, currently building a deep-learning driven computational drug discovery pipeline in Edmonton. With a physics background and an economics minor from the University of Alberta, he combines rigorous quantitative thinking with practical data engineering—having compiled and integrated over a million molecular binding interactions to train cutting-edge binding predictors. His research roots include developing GlyNet-style encodings for complex carbohydrates and automating an industrial plant with reinforcement learning, where classical predictors sometimes outperformed deep RL. Shaurya’s toolkit spans PyTorch, RDKit, transformers, and XGBoost, and he focuses on accelerating discovery by reducing screening costs through computational triage. Notably, he blends domain knowledge in molecular representation with production-minded model evaluation to move models from research prototypes toward impactful screening workflows.
9 years of coding experience
2 years of employment as a software developer
BSc, Physics with Economics Minor, BSc, Physics with Economics Minor at University of AlbertaProgramming languages (1)
Github contributions (5)
shauseth/shauseth.github.io
Nov 2019 - Mar 2025
Contributions:47 pushes, 1 branch in 5 years 5 months
shauseth/protein-glycan-interaction
Oct 2019 - Oct 2019
Contributions:7 commits, 6 pushes, 1 branch in 1 day
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