Leading product design strategy and development while remaining a hands-on designer building AI-driven, user-centric experiences.

Drove 0→1 product development of AI-powered cybersecurity platforms, helping security teams detect phishing, scams, and impersonations faster.

Translated cutting-edge AI/ML research into user-friendly experiences, reducing manual analyst effort by 40–50% through automated triage, takedowns, and contextual insights.

Partnered cross-functionally with engineering, ML research, and product to shape product strategy, define feature roadmaps, and deliver scalable design systems across multiple modules.

Helped shape the agentic AI assistant that centralizes analyst workflows.

Led design strategy and systemization, evolving the design system with Material UI for consistency across dashboards, widgets, and global search experiences.

Delivered measurable impact: accelerated enterprise adoption, improved analyst efficiency, and drove product differentiation in a competitive security market.

Designed the end-to-end crop scheduling platform that powered Iron Ox’s autonomous greenhouses, integrating AI, robotics, and real-time IoT data for precision farming.

Created 0→1 design systems to visualize greenhouse robotics, crop health, and farm-to-harvest traceability—empowering growers to make data-driven decisions.

Partnered with robotics engineers, AI researchers, and agronomists to build interfaces for robot arms, autonomous vehicles, and nutrient delivery systems.

Scaled design from pilot deployments to full commercial farms, ensuring usability across field operators and business stakeholders.

Designed and developed AI-driven digital diagnostics and personalized therapies to support early intervention for children at risk of Autism Spectrum Disorder. Led user research and human factors studies to validate design decisions and support FDA approval efforts.