Dizzaract / FAR Labs
Distributed AI Infrastructure
Dizzaract is an AI and gaming development studio. Within Dizzaract, FAR Labs builds FAR AI — a distributed inference network that connects developers who need fast, affordable AI compute with node operators who provide GPU capacity.
FAR AI routes inference requests across a verified network of consumer and enterprise GPUs. Developers access the network through an API, while node operators earn from completed compute jobs. The ecosystem also includes operator tools, payments, support, and product demonstrations built on top of the network.
Role
Lead Product designer
Contribution
I led product design across FAR Labs, translating a complex two-sided AI-infrastructure model into clear experiences for developers and node operators. Alongside hands-on product work, I managed three product designers and reviewed the work of three creative designers: setting priorities, distributing work, aligning plans and OKRs, conducting reviews, and collaborating closely with product and engineering teams.
Led the design of the Developer Platform, GPU Operator App, Data Center CLI, FAR Pay, and FAR Chat. Aligned design decisions with stakeholders and conducted usability testing.
Owned FAR Pay end-to-end, including product processes, design documentation, UX/UI, interactive prototyping, motion design, design QA, user research, and analytics.
Established ongoing support and development of the design system and adapted it for white-label products.
Led a team of six designers. Built the design process from scratch, introducing planning, backlog prioritization, design documentation, and regular demos. Managed OKRs, optimized team workload, and resolved team conflicts. Introduced AI-powered prototyping into the design workflow.
Established collaboration between designers, product teams, and engineering teams around product direction, ongoing design reviews, and analytics.
Supported designers’ professional growth and selected tools for the design team. Facilitated retrospectives, 1:1s, meetups, workshops, and design sprints.
Led design hiring, including interviews, take-home assignments, probation plans, and onboarding.
Dev Platform
The developer-facing platform for accessing FAR AI inference through an API.
I provided design leadership and continuous design reviews: shaping product direction, reviewing key user flows and interfaces, maintaining consistency across the platform, and working with engineering to make infrastructure capabilities understandable and usable for developers.
Node Client
The node-operator product for contributing GPU capacity to the FAR AI network and earning from completed compute work.
I led design and ongoing design reviews, designed the CLI experience, and created a web dashboard for node operators. The dashboard covered onboarding, operational visibility, earnings and balance management, and several payment-integration scenarios. I also designed the support system and knowledge base to help operators onboard and resolve issues independently.
FAR Pay
The payments layer of the FAR Labs ecosystem.
I owned FAR Pay end to end — from product thinking and user flows to final UI, clickable prototypes, motion concepts, and frontend reviews. I used interactive prototypes and coded animation experiments to validate key payment interactions before implementation, then partnered with engineers to protect experience and visual quality in the shipped product.
FAR Chat
A proof of concept demonstrating the FAR AI ecosystem in use. I designed and maintained FAR Chat as a tangible product demonstration of the underlying distributed-AI infrastructure and its potential user-facing applications.