I build AI systems that are meant to work in the real world, not just in demos. My projects are evaluated with custom harnesses and hardened with guardrails, observability, and failure-first thinking. I have deployed on AWS and understand what production actually looks like beyond the happy path. My background sits at an unusual intersection: production AI engineering, academic research, and cybersecurity. That combination shapes how I think about every system I build and every problem I help someone think through. I have 20+ Scopus-indexed publications across IEEE, Wiley, Springer, Elsevier, and Frontiers, covering AI in healthcare, audit automation, IoT security, and sustainability. I also post regularly about what I am building, what breaks, and what I am still figuring out. If you are a student, a professional trying to stay relevant, or someone who knows they want to work in AI but does not know where to start, I have probably been in a version of that position. I am not that far removed from it. The session is direct. You bring the question, I will give you my honest take, and we figure out the next step together.