11+ years at the intersection of design systems, AI tooling, and enterprise security UX. I make design systems machine-readable so AI-generated UI stays on-system: measured, audited, and cheaper per correct screen.
ML and AI foundations: Python, applied statistics, supervised learning.
Vice President, students' community; multiple competition recognitions.
Best Graduation Project award; top ranks in national design competitions.
Machine-readable documentation, design tokens, Figma Make kits, Dev Mode MCP, Code Connect, drift auditing, agentic generate-review loops (Claude, Copilot, Gemini).
Design systems, DesignOps, UX strategy, information architecture, enterprise security UX (SSE/ZTNA).
Design critique, coaching, stakeholder management, Amplitude product analytics.