Originally published on AI Tech Connect.
What this guide covers You have shipped real AI work. You have debugged a retrieval pipeline at 2 a.m., wrestled with context-window management, and coaxed a fine-tuned model into behaving. Yet when a recruiter or a potential collaborator looks you up, they find a sparse LinkedIn profile and a handful of private GitHub repos. In 2026, that gap between ability and visibility is the most consequential career risk an AI engineer can carry. This guide is for mid-career engineers who have genuine skills but have kept their work private — either behind NDAs, in monorepos they do not own, or simply because they never built the habit of sharing. It is not a guide about social media strategy or personal branding in the influencer sense. It is a practical playbook for leaving behind a trail of…
Top comments (0)