I am a CS Freshman at The University of Toronto. I love researching and working with Machine Learning, especially Computer Vision. Coming from the software and robotics background, I contribute extensively to/ maintain popular open-source projects like TensorFlow, PyTorch, Kubernetes, Kubeflow, PapersWithCode, freeCodeCamp among others. I also love building open-source projects (usually related to Kubernetes and Machine Learning), some of which have been pretty popular
- An Intuitive Look at the Dynamics of SGD
- The Ferromagnetic Potts Model
- Compression techniques in Statistical Learning
- Review of Domain Generalization using Causal Matching: Causal Learning Series
- Kubeflow Pipelines: Orchestrating Machine Learning Workflows - Part 3