Tailor Your CV for AI Engineering Roles
In this workshop we take a CV that's not focused on AI engineering roles and make it more relevant. We build a pipeline where: a renderer turns YAML into Harvard-style CVs we take my CV (focused on founder and community work), turn it into YAML, and adjust it for AI engineering roles we then adapt it to a particular industry (EdTech) and finally, we adjust it for a specific position in that industry You can reuse this process to adjust your CV and target it to any position. A few rules keep the CV honest at the end: Role titles must be defensible in an interview. The headline can position you for the market. Workshop flow We work through the CV in this order: Turn strategy notes and an existing CV into a focused AI engineering story. Move the CV into YAML so later passes edit structured content. Render the YAML to a plain HTML CV and print it to PDF. Adapt a copy for EdTech, then another copy for one job description. Distill the corrections into CV-PROCESS.md and test it on another CV. Links We build on the job-search workflow from selecting a portfolio project. There we pick a domain, study target companies, and use their roles to decide what to build or feature.