I'm trying to break into AI as a Machine Learning Engineer. I want to demonstrate expertise in AI/ML topics and capture a "Wow" factor by contributing to a well-known open source AI project.
I'm looking for suggestions spanning CV, NLP, tabular data and collaborative filtering -- not excluding but not limited to the latest GenAI stuff.
Some context: I have an MS in CS, did CV research, and completed Jeremy Howard's ".
The itself is a popular target for a first contribution. See:
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(if the link doesn't work, it's also discoverable: search "fast.ai"). #fastai-dev is the contributors' channel.
One concern is identifying something that's non-trivial but tractable for a relative newbie. I realize there's tension between this and achieving that "Wow" factor at least in the beginning. I'm not sure a contribution to, say, PyTorch or scikit-learn is achievable from where I stand, but I could be wrong. Perspective on how to spot/scope opportunities would be appreciated too.
Thanks very much!
Potentially relevant questions on Taro: