Paul Iusztin

You literally wrote the book on LLM engineering and teach AI daily—this is your core tool, not just a helper.

Your 'LLM Twin' course and Agent Engineering course demand sophisticated, reusable prompt workflows and custom agent design.

20 shipped apps and open-source projects like 'LLM Twin' suggest rapid prototyping, likely with AI coding tools.

Built a 'Financial Assistant API Powered by LLMs and Vector DBs' and led RAG ingestion pipelines—LLM APIs are your bread and butter.

Currently building 'end-to-end vertical AI agents' with RAG, knowledge graphs, and evals; teaches an Agent Engineering course.

You ship AI to real users (20 apps), teach production patterns, and focus on monitoring, evals, and escaping PoC purgatory.

Deep experience in computer vision and ML training at Metaphysic, but current focus is on LLM application engineering, not fine-tuning.

Built entire infrastructure on AWS with Terraform, CI/CD, and scaled RAG pipelines—strong LLMOps and deployment skills.

Taught AI foundations and has a deep learning background, but your public work is applied engineering, not novel research.