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name	role	description	date	slug	type
First Last	Positon @ Organization		2030-12-28	/mentors/first-last/	template

Learn more about ABC on his site, Twitter, and LinkedIn.

Please share a bit about yourself: your current role, where you work, and what you do?

What was your path towards working with machine learning? What factors helped along the way?

How do you spend your time day-to-day?

How do you work with business to identify and define problems suited for machine learning? How do you align ML projects with business objectives?

Machine learning systems can be several steps removed from users, relative to product and UI. How do you maintain empathy with your end-users?

Imagine you're given a new, unfamiliar problem to solve with machine learning. How would you approach it?

Designing, building, and operating ML systems is a big effort. Who do you collaborate with? How do you scale yourself?

There are many ways to structure DS/ML teams—what have you seen work, or not work?

How does your organization or team enable rapid iteration on machine learning experiments and systems?

What processes, tools, or artifacts have you found helpful in the machine learning lifecycle? What would you introduce if you joined a new team?

How do you quantify the impact of your work? What was the greatest impact you made?

After shipping your ML project, how do you monitor performance in production? Did you have to update pipelines or retrain models—how manual or automatic was this?

What’s a problem you encountered where machine learning seemed like the right solution, but turned out to be wrong? What was the eventual solution?

Think of people who are able to apply ML effectively–what skills or traits do you think contributed to that?

Do you have any lessons or advice about applying ML that's especially helpful? Anything that you didn't learn at school or via a book (i.e., only at work)?

How do you learn continuously? What are some resources or role models that you've learned from?