Dell established a global initiative to build a scalable, AI-ready Identity & Access Management (IAM) system across its product ecosystem. This centralized security framework is engineered to support thousands of enterprise organizations, securely governing tens of thousands of users and hundreds of thousands of global systems.

Because Dell has extensive client networks running highly siloed architectures, managing dynamic user permissions across client enterprises' internal systems creates a massive administrative challenge and a high-priority security risk. This friction is compounded by inconsistent authentication infrastructure; while certain large organizations utilize mature Single Sign-On (SSO) protocols, many smaller clients lack centralized authentication pipelines entirely, forcing the Dell IAM platform to gracefully support these fragmented, hybrid environments.

Following a dedicated two-year development cycle, the new Identity & Access Management (IAM) platform achieved strong endorsement from Dell management across multiple product lines. The platform was highly validated during usability studies, where actual enterprise customers praised the intuitive layout and simplified workflows of the new interface.

Dell has extensive client networks running highly siloed architectures where authentication and authorization infrastructures vary wildly by company size and individual divisional requirements. To unify this fragmented space, I worked alongside product management to introduce a centralized "Organization" concept. This model allows enterprise clients to instantiate internal organizational business units to address localized needs. It also gives security administrators the granular ability to switch between discrete authentication protocols (SSO and Non-SSO) and configure role assignment authorizations through Local, SSO, or mixed-mode.

Due to the vast number of clients and users, I architected the IAM platform to accommodate multiple user personas:

Administrators can create Local User Groups or SSO Groups and automate role assignments dynamically based on user source attributes. This drastically reduces administrative overhead. By clicking on any user, administrators can view all the roles assigned to that user across all sources.

I architected the IAM platform to seamlessly govern the full user lifecycle by mapping out core identity transitions:

Managing access control across hundreds of thousands of distributed systems worldwide is a highly critical security task for Dell’s enterprise clients. To accommodate distinct infrastructure needs, I designed a dual-option asset grouping strategy that allows administrators to create Resource Groups using two distinct configurations:


I worked closely with engineering teams to generate component markdown (.md) documentation files, systematically reviewing the implementation to ensure all user flows were accurate and the final code matched Dell style guides.

Dell is developing an adaptive, AI-driven design system for use across multiple AI applications to leverage artificial intelligence, simplify maintenance, and reduce development costs.

Legacy design systems frequently suffer from fragmented styles and disconnected tokens because disparate product lines rely on entirely separate frontend architectures — including React and Angular. Building and maintaining individual Design libraries across these isolated tech stacks drives up design efforts and incurs substantial manual engineering overhead.

I collaborated with Dell design and engineering teams to architect an adaptive, AI-driven design system that establishes a unified layer of standardized variables and design tokens. Using targeted prompts in Devin, we generated platform-agnostic component markdown (.md) files and validated them using Storybook to eliminate manual development overhead and ensure systemic visual consistency.

The deployment of platform-agnostic component markdown (.md) files successfully unified variables across multiple Dell products. This transformation dramatically reduced development effort and accelerated delivery timelines across several engineering teams.

I interviewed UX design teams to understand individual platform guidelines and isolate the unique challenges designers faced when using existing component libraries. In parallel, I audited engineering teams to uncover legacy backend framework limitations, codebase maintenance friction, and critical design-to-implementation misalignments. Finally, I evaluated the differences between variables and tokens across each system to identify core pain points and map out actionable solutions to align variables across products.

I collaborated with cross-functional UX teams at Dell to optimize Figma component properties, apply adaptive auto-layout scaling, and define interactive behavioral models. Conducted comprehensive color and accessibility testing while establishing a unified layer of standardized variables to ensure absolute design consistency across all product lines.

I worked closely with engineering teams to set up an AI development platform leveraging Claude Design, Devin, Storybook, GitHub, and Figma to create a scalable design system powered by platform-agnostic markdown (.md) documentation files. This centralized token model enables cross-functional teams to inject unified variables seamlessly across Dell product lines, eliminating framework-specific technical debt and ensuring enterprise-wide visual consistency.

The new AI-driven design system was successfully adopted by multiple engineering teams across different frameworks, including React and Angular. This cross-framework integration established a unified layer of standardized tokens, eliminating manual development overhead and ensuring visual consistency across product lines.