Architecting an AI-native financial observability platform from 0 to 1.

I lead the product vision and own the technical implementation of the "Trust Layer"—the interface logic that enables users to manage probabilistic AI outputs with deterministic certainty.

Key Focus Areas:

• Agentic Workflows: Designing systems where AI takes autonomous action, moving from "tools for tasks" to "agents for outcomes."

• Trust Calibration: Implementing human-in-the-loop (HITL) verification and confidence-score visualizations to mitigate model hallucinations.

• Functional Prototyping: Vibe coding the production environment in Next.js and React to validate complex interaction physics and "Chain of Thought" narratives before final engineering handoff.

Led AI & Security design for an Open XDR platform, transforming how analysts hunt threats.

Shipped GenAI Security Assistant: Designed an LLM-powered interface that translates natural language into complex security queries, reducing investigation time by 50%.

Visualized Threat Exposure: Architected high-density dashboards for real-time anomaly detection across massive datasets (1,000+ points).

Scaled the Platform: Redesigned RBAC and multi-tenant admin tools, reducing configuration tickets by 30%.

Designed high-scale consumer mobile experiences for the Books platform, serving millions of global users.

* Impact: Lifted user engagement by 15% through rigorous A/B testing and data-informed design iterations on content discovery flows.

* Craft: Executed "consumer-grade" visual design and interaction polish across iOS, Android, and Kindle surfaces.

* Complexity: Navigated Amazon’s rigorous "Bar Raiser" design review process to ship features that met strict accessibility (WCAG) standards.

Owned the UX strategy for complex network automation platforms used by global service providers. Led the shift from fragmented tools to a unified "Single Pane of Glass" experience.

Leadership & Systems:

🏛️ Design Systems Architect: Defined and scaled a centralized design system adopted by 500+ engineers across 5 product teams.

⚡ Efficiency: Reduced engineering lead time by 25% by establishing reusable component governance and standardized patterns.

🧩 Complex Workflows: Simplified intricate hardware provisioning flows, reducing customer configuration time by 30%.