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summary
Advice lands on concrete actions not buzzwords: get hands-on with the Data certification path or Google and NVIDIA sandboxes, show what made a project succeed and what failed by including a README that explains tradeoffs, publish personal projects and open‑source contributions (hiring eyes go straight to those links), network to get a resume past keyword filters into a human hand (one example cuts a 1,000 applicant pool to ~50), and make sure to be known for one thing that drives measurable value so layoffs don’t erase you.
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chapters (13)
- 0:00Introduction
- 1:37Tech job market post-COVID
- 2:20Engineer resume trends
- 4:23Optimizing resumes for AI
- 6:10Bring solutions to work
- 8:13Standing out during layoffs
- 10:18Building career leverage
- 11:42Why one skill matters
- 13:06Business impact over passion
- 14:50Encouraging innovation
- 17:42AI certifications for resumes
- 20:53Networking and projects
- 22:57Q&A
