We talked about
- Chris’s background
- Switching careers multiple times
- Freedom at companies
- Chris’s role as an internal consultant
- Chris’s sabbatical
- ChatGPT
- How being a generalist helped Chris in his career
- The cons of being a generalist and the importance of T-shaped expertise
- The importance of learning things you’re interested in
- Tips to enjoy learning new things
- Recruiting generalists
- The job market for generalists vs for specialists
- Narrowing down your interests
- Chris’s book recommendations
Links:
- Lex Fridman: science, philosophy, media, AI (especially earlier episodes): https://www.youtube.com/lexfridman
- Andrej Karpathy, former Senior Director of AI at Tesla, who's now focused on teaching and sharing his knowledge: https://www.youtube.com/@AndrejKarpathy
- Beautifully done videos on engineering of things in the real world: https://www.youtube.com/@RealEngineering
- Chris' website: https://szafranek.net/
- Zalando Tech Radar: https://opensource.zalando.com/tech-radar/
- Modal Labs, new way of deploying code to the cloud, also useful for testing ML code on GPUs: https://modal.com
- Excellent Twitter account to follow to learn more about prompt engineering for ChatGPT: https://twitter.com/goodside
- Image prompts for Midjourney: https://twitter.com/GuyP
- Machine Learning Workflows in Production - Krzysztof Szafanek: https://www.youtube.com/watch?v=CO4Gqd95j6k
- From Data Science to DataOps: https://datatalks.club/podcast/s11e03-from-data-science-to-dataops.html
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
