This is incredibly cool. As someone looking to try out some ideas around applied ML, can I ask what your stack looks like?
React/Django/Postgres on AWS for APIs and websites. Terraform to manage the infrastructure. cortex.dev for serving some ML models, AWS Lambda for serving others. ML models are all PyTorch at the moment, with RDKit doing the chemistry heavy lifting. Data obtained through various means, including some tools from nextmovesoftware.com
There's a bunch more tech involved in supporting the scientists in the COVID moonshot, but that's basically everything ML-related.
Any particular part of the stack you were curious about?