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