Kevin Shen
Computer Scientist
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolKevin Shen is a fourth-year Computer Science and Statistics student at the University of Toronto with 11 years of hands-on experience across research and engineering roles focused on machine learning and computer vision. He has contributed to prominent open-source ML infrastructure—adding Weights & Biases experiment logging to DeepChem—demonstrating practical experience bridging research models and production tooling. His internships span dense depth estimation for autonomous driving and applying LLMs across interdisciplinary research at an adaptive interventions lab, reflecting both deep technical skills and an appetite for applied problems. Comfortable in team and solo settings, he pairs strong communication and a proactive work ethic with a curiosity for experiment reproducibility and model monitoring.
11 years of coding experience
High School Diploma, High School Diploma at Watchung Hills Regional High SchoolBachelor of Science - BS, Computer Science and Statistics, Bachelor of Science - BS, Computer Science and Statistics at University of Toronto
Github Skills (11)
pytorch10
machine-learning10
deep-learning10
tensorflow10
python10
wandb10
keras9
biology5
quantum-chemistry4
drug-discovery4
science4
Programming languages (6)
Github contributions (5)
deepchem/deepchem
May 2021 - Aug 2021
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
ML Engineer
ML EngineerContributions:35 reviews, 19 commits, 7 PRs in 3 months
Contributions summary:Kevin's commits primarily focus on integrating Weights & Biases (W&B) logging into the DeepChem KerasModel and TorchModel, along with adding utility functions. They introduced and modified a `WandbLogger` class for tracking experiments, including logging losses and metrics during training and evaluation. The contributions demonstrate an effort to enhance experiment tracking and model monitoring within the DeepChem framework.
chemistrysciencedrug-discoverydeep-learningbiology
kshen3778/deepchem
May 2021 - Aug 2021
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Contributions:12 reviews, 4 PRs, 71 pushes in 3 months
chemistrysciencedockingdrug-discoverydeep-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.