Please help decide whether to OC1 or OC2

Hello,

I am currently finishing a PhD in AI and have been doing ML for an energy supplier for the last year. My MC revolves around my publication record and I’ll also go for MC4. However, I am
wondering if I should go for OC1 or OC2 for the second OC.

For OC2 I would provide the following evidence:

  • Reviews for conferences that I do outside of work.
  • GitHub projects I created during my PhD that I still maintain.
  • Voluntary Teaching in my AI classes during my PhD.

I am not sure if I could go for OC1 as my company is an energy supplier and therefore not a product-led digital technology company. In my work, I am implementing machine learning / deep learning solutions for forecasting problems and automatic optimization of power plants and gas storages.

My documents of proof for this would be:

  • Design documents / Code extracts
  • Monetary impact of my work
  • Payslip

Would it be possible to go for OC1 and if yes, what do you think would be the stronger evidence?

Thank you,
Philipp

You can use your example of OC1 in MC itself under leading a large initiative. Your OC2 looks better if the conferences are leading tech conferences and you can show good engagement and continued activity on GitHub.

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Your OC2 evidence looks strong. For OC4, your PhD research and publications provide solid evidence. Your academic contributions make a compelling case.

While your ML work at the energy supplier shows technical expertise and business impact, it would be more strategic to use this as supporting evidence for your overall profile rather than trying to fit it into OC1. The monetary impact and technical documentation could strengthen your mandatory criteria evidence instead.

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Thank you so much for your feedback. That’s very good advice.