Design Engineer, I bridge Figma, code & systems at scale

I build high-fidelity, interactive prototypes directly from Figma designs that answer critical product questions before engineering investment. My prototypes feature real data flows, state management, and complex interactions, not just static mockups. At NetLex, my prototypes validated workflow improvements that increased feature adoption by 300%, saving months of development time. I specialize in rapid implementation of product discovery concepts, using React, TypeScript, and Framer Motion to bring designs to life within days, not weeks.

I've architected and implemented design systems that scale across platforms for enterprise products serving 100+ companies. This includes design token pipelines (from Figma to code), component libraries with comprehensive documentation, versioning strategies, and adoption metrics. My approach integrates engineering best practices (performance, accessibility, testing) with design governance (consistency, flexibility, quality). My systems have reduced implementation time by 60%and eliminated over 90% of design inconsistencies in production, while meeting WCAG AA/AAA accessibility standards.

I'm pioneering the integration of AI and LLMs into design and development processes. I've built components that leverage generative AI capabilities, created design systems that incorporate AI-powered features, and implemented prototypes demonstrating AI interactions. My expertise includes building custom tooling that connects design systems with LLMs for automated documentation, accessibility suggestions, and component variants. I approach AI as a force multiplier for design systems, enabling teams to focus on creative exploration while maintaining implementation quality.

I write production-grade code that meets the standards of senior frontend engineers. My technical expertise spans React, TypeScript, Next.js, Tailwind CSS, Framer Motion, SwiftUI, and Jetpack Compose. I implement proper architecture, component testing (Jest, React Testing Library), accessibility compliance (WCAG AA/AAA), performance optimization, and Git workflows. My code doesn't just match designs, it's maintainable, scalable, and optimized for both developer experience and user performance.

I collaborate directly with product discovery teams, turning research insights and early concepts into testable prototypes. My background in user research and product design enables me to contribute to discovery workshops, participate in user testing, and translate qualitative insights into technical implementation. I've built specialized tools for user research, including interactive interview guides, prototype instrumentation for data collection, and visualization components for sharing research findings across organizations.

I practice "vibe-coding", the ability to rapidly prototype and adapt across different platforms, frameworks, and contexts. Whether it's building React components, creating animations with Framer Motion, prototyping native experiences with SwiftUI or Jetpack Compose, or exploring new frameworks like Svelte or Vue, I move fluidly between technologies based on project needs. This adaptability means I can contribute wherever the product requires, from web to native mobile to emerging platforms, maintaining design fidelity across all touchpoints.

What exactly does a Design Engineer do at companies like Figma, Adobe, or GitHub?

At top tech companies, Design Engineers serve as the technical bridge between design and engineering teams. They implement complex UI components, build and maintain design systems, create high-fidelity prototypes for product validation, and develop tooling that streamlines the design-to-code workflow. At Figma or Adobe, this might include building new design tool features with pixel-perfect precision and optimal performance. At GitHub or Meta, it could involve creating scalable component libraries that maintain consistency across massive products while supporting platform-specific requirements.

How do you implement design tokens and maintain design system consistency at scale?

I implement design tokens through a structured pipeline that connects design tools (typically Figma) to code. This involves extracting tokens from design files, transforming them into platform-agnostic formats (like Style Dictionary), and generating code for different platforms. For consistency at scale, I build automated validation systems that catch design drift, create comprehensive documentation with usage guidelines, implement versioning strategies that balance evolution with stability, and develop monitoring tools that track adoption and consistency metrics across products.

How are you integrating AI and LLMs into design systems and products?

I'm integrating AI into design systems in several ways: building components specifically designed to handle generative content (with appropriate loading states, error handling, and content boundaries); creating design tokens that support AI-generated imagery and text; implementing UIs for AI interaction patterns like chat interfaces and content generation; and developing tooling that uses LLMs to assist with documentation, accessibility suggestions, and component variant generation. I approach AI as an augmentation layer that enhances design systems rather than replaces their core architecture.

What value does prototyping bring to product discovery and development?

High-fidelity prototyping transforms product discovery by converting abstract ideas into tangible experiences that stakeholders and users can interact with. This accelerates decision-making, validates assumptions before engineering investment, uncovers edge cases early, and builds alignment across teams. My prototypes include real data flows, state management, and complex interactions, making them far more valuable than static designs for answering critical questions about feasibility, usability, and technical approach. In measurable terms, prototypes I've built have saved months of development time and increased feature adoption by identifying and solving problems before full implementation.

How do you approach accessibility in design systems and components?

I build accessibility into design systems from the foundation up, not as an afterthought. This means creating components that follow WCAG guidelines by default, implementing proper semantic HTML, ensuring keyboard navigation, supporting screen readers, and maintaining appropriate contrast ratios. I incorporate automated testing for accessibility issues, create documentation with accessibility guidelines, and conduct regular audits. Most importantly, I approach accessibility as a design constraint that leads to better products for everyone, not just as a compliance checkbox.

What makes you qualified to work as a Design Engineer at top tech companies?

My qualification comes from a unique combination of skills and experience: deep technical proficiency in frontend frameworks (React, TypeScript) and design tools (Figma); extensive experience building enterprise-scale design systems that drove measurable business impact; ability to implement complex, performance-optimized UI components that match design intent perfectly; expertise in creating high-fidelity prototypes that validate product concepts; and a proven track record of bridging design and engineering teams to reduce friction and accelerate product development. I bring both technical depth and design sensibility, the exact hybrid skill set that top tech companies need for their most complex product challenges.

Want to See My Best Work?

I've built several stealth AI solutions that designers and engineers love, but they're not public yet. These projects showcase the cutting edge of design engineering: AI-powered component generation, intelligent design systems, and prototyping tools that eliminate friction between design and code.

If you're hiring for a Design Engineer role at a top tech company, I'd love to give you a live demo. You'll see firsthand how I bridge design and engineering at scale, with real products that are already changing how teams work.