Bit about myself: ML Engineer. Full Stack. Ex-Founder. YC Finalist W20. Started out as an ML engineer @ Capital One building credit risk models. Then did full stack at a UK fintech startup. Then did contracting for a bit. Used that money to fund my own startup, an AI journal app (10K+ users). Then went on to build Face ID for office spaces. Also enjoy deep learning research. After my startup days, I had like $15K in AWS credits so I could finally experiment with bigger datasets. Specifically, for CV tasks like super-resolution & action recognition. Nowadays, I spend all my time reading papers on arxiv, experimenting, and writing about my research. I was really into deep learning from the start, but I always thought to myself I'd do that after I do a startup... but doing a startup made me realize my life needed a more precise "why" than just "solving big problems for users". I feel like that would help me go deeper into certain problems, instead of knowing a lot about a bunch of different ones. Anyways, what do you guys think is important to value early on? In your experience, what's fundamental to building a strong career? Is it better to be an expert at one thing? Or is it better to be really good at a couple things? #tech #career
Less is more
Definitely knowing 2-3 things. You might find that going deep on one thing might be beneficial in AI research, but not so much with ML Engineering. Just sent you a PM if you want to talk more about the differences.
probably not the right platform to ask as 90% of the people here has never taken any major risk in their life. In a specialized world governed by power law, doing one thing really well is probably better https://www.canadianbusiness.com/innovation/netflix-ceo-reed-hastings-on-the-power-of-doing-one-thing-well/amp/
Latter. Easier to move on to something else if what you’re an expert on is no longer valued.
Interesting, never rlly crossed my mind to think of it as diversifying risk