I'm a data scientist and AI engineer focused on building practical LLM applications, RAG systems, and multi-agent workflows with tools like LangGraph and CrewAI. I'm early in my career, but I've spent that time deep in modern AI tooling — from Python data pipelines and ML fundamentals to orchestrating agents that actually ship work. I care as much about the business side as the technical one: understanding what a project is actually trying to achieve, where the ROI lives, and which problems are worth solving with AI versus a simpler tool. I adapt to whatever communication style fits your team — async updates, regular syncs, or closer collaboration. What I commit to either way: clear written updates, honest estimates, and early sharing of work-in-progress so you're never surprised at a milestone. AI is part of how I work, not just what I build. I use Claude, ChatGPT, Claude Code, and Cursor daily, and I build and test agent workflows in my own projects — which gives me firsthand intuition for what's brittle, what scales, and where human review still matters. For clients, that means faster iteration and realistic expectations about what current AI can and can't reliably do.