I turn ideas into shipped products fast with AI in a responsible way. My focus is on taking AI capabilities from idea → production → real daily usage, especially in enterprise and internal tool environments where trust, reliability, and usability matter as much as model performance. I have built internal tools serving 150+ consultants and auditors. I've scaled AI adoption from 20 to 150+ users in 3 months, shipped MVPs that save teams 25+ hours weekly, and built evaluation frameworks to make sure our AI actually works. I spend a lot of time at the intersection of: 🧠 Product strategy (what problems are worth solving?) 🤖 AI systems (what’s actually feasible and reliable?) 👥 Enablement & adoption (will people really use this?) Beyond work, I create content on AI literacy, productivity, and building with AI- reaching 35K+ people across LinkedIn, Instagram, and TikTok with 30M+ total views. I share what I'm learning, what I'm building, and how AI is changing the way we work. What I'm focused on now: → AI Product Management for emerging use cases (agents, copilots, multi-modal AI) → AI Evaluation methodologies that scale → Building in public and teaching others to do the same I’m especially interested in roles where AI isn’t a side experiment but a core product capability that needs thoughtful design, clear metrics, and strong adoption to succeed. What I'm open to: Conversations about AI Product Management, AI Evals, agentic workflows, Responsible AI frameworks, rapid prototyping with AI tools, or career paths in AI/ML product. If you're building AI products, thinking about AI governance, or just want to talk about the future of AI-native development -let's connect.