17+ years designing complex platform experiences across AI, IoT, and enterprise software — where data models meet human decisions.
My practice sits at the intersection of systems thinking, domain expertise, and user-centred design. Three principles guide every platform decision I make.
A platform is not a collection of UIs — it's a network of interdependent models, APIs, and workflows. I start by mapping how data flows between systems, personas, and industries before touching a single interface. Frameworks come first; pixels follow.
Whether it's an SDK for developers, a data dashboard for enterprise customers, or an agentic AI workflow for end users — the job is the same: reduce cognitive load on data-heavy decisions without hiding the power underneath. Clarity is a feature.
My industrial design background taught me that great UX comes from deep domain fluency. In AECO and manufacturing, workflows are shaped by physics, regulation, and craft. Platform data experiences must respect these realities to earn trust and adoption.
A direct mapping between the Autodesk UX Architect, Platform Data requirements and my career experience.
Key projects demonstrating platform UX architecture, data-driven product design, and strategic systems thinking.
Lattice needed a coherent platform experience strategy for its Edge AI product portfolio — spanning APIs, SDKs, developer tooling, and data pipelines — while serving diverse audiences: Tier 1 OEM partners (Lenovo, Dell, LG), field engineers, and internal research teams.
Edge AI Product Portfolio Manager responsible for defining end-to-end UX strategy, developer platform architecture, and agentic AI workflow design. Collaborated cross-functionally with engineering, research, QA, and business leadership.
Directly mirrors the role's core mandate: defining UX vision for a data platform, designing developer-facing experiences (APIs/SDKs), leveraging agentic AI, and aligning cross-functional stakeholders on strategic direction.
AI pipeline workbench adopted by field engineers, research, and QA teams. Platform distribution strategy adopted by leadership, redefining how Lattice publishes its AI model portfolio. Agentic AI tooling showcased at CES and Embedded World.
Redesign a computer vision platform experience that needed to serve two fundamentally different audiences simultaneously: consumer end users and B2B OEM partners integrating via API/SDK — all while maintaining data interoperability across PC manufacturers.
Product Strategy Consultant leading the full platform experience redesign — from consumer-facing app UX to the underlying B2B OEM API/SDK integration architecture.
Demonstrates the exact skill of designing platform data experiences that cross industry silos — serving end users, enterprise customers, and developers from a single coherent architecture. Mirrors Autodesk's need for interoperable data across products and ecosystems.
Redesigned platform shipped on 14M+ PCs worldwide across Lenovo, Dell, and LG OEM integrations — a testament to scalable, interoperable platform data experience design.
CEO-mandated turnaround of the Notio Aerometer — a first-of-its-kind IoT device integrating six sensors (pitot tube, barometer, 3-axis accelerometer, gyroscope, hygrometer, thermometer) communicating via ANT+ and BLE to a companion iOS app. The challenge: pivot from an engineering prototype into a market-ready analytics platform that could make complex aerodynamic data actionable for both individual cyclists (B2C) and professional teams (B2B).
Head of Product responsible for the full product vision, experience architecture, and go-to-market strategy. Owned the end-to-end data experience: from hardware sensor data collection through real-time processing to the mobile analytics interface.
A direct analogy to Autodesk's challenge: taking complex, multi-source data (sensor telemetry / BIM models) and making it actionable for different user personas. Demonstrates manufacturing domain expertise, IoT data platform architecture, and the ability to translate physics-level data into user experiences that drive real-world decisions.
Product launched and adopted by Trek-Segafredo UCI World Tour team. Featured in Cycling Weekly, Global Triathlon Network, and Slowtwitch. $1M in AI R&D funding secured. Product successfully transitioned from engineering prototype to market-ready analytics platform with e-commerce distribution.
National Geographic Learning needed a mobile platform that could serve fundamentally different user types — students, content curators, and sales representatives — while scaling internationally across markets with vastly different app ecosystems (including China). The platform centered on TED Talk video content for language learning.
UX Practice Lead overseeing experience design strategy from discovery through launch. Responsible for defining user pathways, content management UX, and the multi-user architecture across the platform.
Directly parallels Autodesk's need for multi-persona platform experiences — serving different user types (designers, engineers, project managers) from a shared data platform. Demonstrates ability to design content management systems, cross-market deployment, and interaction-level UX for data-rich products.
App adopted by 100+ schools across two continents. Awarded the prestigious President's Award for New Use of Technology by London's English-Speaking Union (ESU).
VCA needed a complete digital ecosystem connecting pet owners, veterinarians, and hospital staff — centralizing medical data, appointment management, telemedicine, and real-time communication across multiple applications. The system had to scale across all of North America on Azure cloud infrastructure.
UX Practice Lead responsible for experience architecture across the full ecosystem: four interconnected applications, a cloud infrastructure strategy, and the complex user flows linking pet owners, veterinary staff, and hospital operations.
A textbook example of platform data experience design at ecosystem scale — multiple interconnected applications, diverse user personas, complex data flows, and cloud infrastructure. Mirrors the kind of cross-product, data-interconnected platform thinking Autodesk needs for its own ecosystem.
Four-app digital ecosystem deployed across VCA's North American hospital network. Cloud infrastructure became the backbone for VCA's entire information system beyond just these applications. Deep client partnership sustained over multiple years of continuous delivery.
I'm excited about the future of product data at Autodesk — and the opportunity to shape it.