This is the primary language used in most of my projects. I am a strong proponent of PEP-8 and function typing. On top, I am experienced in deploying and maintaining my own Python packages on PyPI.
I have extensive theoretical and practical knowledge of ML and its best practices. This ranges from exploratory data analysis and data pre-processing, to experimental design and evaluation, all the way to model training and deployment.
I first started using Pytorch during my studies in 2017. The majority of my own ML experiments is written at least partially with pure Pytorch, and I have previously worked with cloud-based deployments of Pytorch solutions on GCP and AWS.
My extensive experience as a Teaching Assistant, as well being a presenter at conferences, has made me comfortable speaking in front of others. This especially includes explaining scientific concepts to audiences at various levels of difficulty.