Resume Review for AI Careers with Manoj Dobbali

Most AI resumes fail the same way. They list tools (PyTorch, LangChain, Kubernetes, vLLM) and skip the part that matters: what you built, how big it was, what broke, and what changed because of you. Recruiters can’t tell a notebook experiment from a production system, so they move on.

I fix that. I work on ML infrastructure and LLM serving systems, and I look at resumes the way someone who has built and shipped these systems does. I take your resume apart the way I’d take apart a system: find where it fails, then rebuild it.

Who this is for

• ML, AI, and LLM engineers
• Data scientists and data engineers moving toward AI roles
• MLOps, platform, and infrastructure engineers
• Software engineers pivoting into AI
• Researchers moving from academia to industry

Manoj Dobbali