How would you defend your future title of AI/ML engineer in 2020? What would be your pitch?

I would start by highlighting my hands‑on experience with RAG pipelines, where I designed a retrieval‑augmented generation system that reduced hallucination rates by 30%. I’d then explain how I applied that knowledge to build a production‑grade chatbot for a fintech client, scaling it to 10,000 concurrent users. In the pitch, I’d emphasize my ability to translate research into scalable solutions, my proficiency in Python, PyTorch, and cloud services, and my track record of delivering measurable business value. I’d close by stating that my future title reflects not just my technical skill set but also my leadership in cross‑functional teams, my commitment to continuous learning, and my vision for leveraging AI to solve real‑world problems.