Portfolio — UX Architecture

Designing the systems that make
platform data useful

17+ years designing complex platform experiences across AI, IoT, and enterprise software — where data models meet human decisions.

Guillaume F. Lamy Montreal, QC EN / FR Bilingual
How I approach UX architecture for platform data

My practice sits at the intersection of systems thinking, domain expertise, and user-centred design. Three principles guide every platform decision I make.

Systems over screens

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.

Make the complex accessible

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.

Design with the domain, not over it

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.

How my experience maps to this role

A direct mapping between the Autodesk UX Architect, Platform Data requirements and my career experience.

Autodesk Requirement My Experience
12+ years in experience design, 4+ in leadership/architecture
17+ years in experience design. UX Practice Lead at Nventive (4 yrs). Head of Product at Argon 18/Notio. Edge AI Product Portfolio Manager at Lattice Semiconductor (3 yrs).
UX for complex, data-driven, developer-focused products
Designed platform UX spanning APIs, SDKs, data pipelines, and developer tooling at Lattice. Architected OEM API/SDK integration architecture for Glance platform (14M+ PCs shipped).
Technical fluency: APIs, SDKs, data models, data platforms
Hands-on builder. Shipped a production AI pipeline workbench using LLM-assisted coding. Software dev minor (C++, Java). Interactive developer background at Nurun and Moment Factory.
Agentic AI & LLM workflow design
Built and shipped agentic AI experiences at Lattice using Claude and Cursor. Defined demo narratives and agentic AI tooling showcased at CES and Embedded World.
AECO & manufacturing domain knowledge
Industrial Design degree (Univ. de Montreal). Direct experience with manufacturing workflows (Argon 18), and deep platform work across IoT/edge for industrial applications.
VP-level stakeholder alignment
Influenced C-suite and VP-level decisions at Lattice and Argon 18. Strategic recommendations on developer platform distribution adopted by leadership.
Systems thinking & cross-functional collaboration
Systems-level platform analysis across products, partners, and developer ecosystems. Cross-functional leadership with engineering, product, research, and QA teams throughout career.
AI-assisted development tools (Claude, ChatGPT, Cursor)
Daily practitioner. Used Claude, ChatGPT, and Cursor to ship production code, accelerate prototyping, and build this portfolio.
Case studies

Key projects demonstrating platform UX architecture, data-driven product design, and strategic systems thinking.

Agentic AI + Platform

Edge AI Platform Experience Strategy

Lattice Semiconductor — 2022–2025
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Challenge

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.

My Role

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.

Approach

  • Mapped the full system: data pipelines, model repositories, developer touchpoints, and OEM integration surfaces
  • Architected UX for AI-powered experiences including face identification, gesture workflows, eye-gaze tracking, and 3D avatar systems
  • Shipped a production AI pipeline workbench using Claude and Cursor, demonstrating hands-on agentic AI fluency
  • Led systems-level analysis of GitHub and Hugging Face as developer distribution channels

Relevance to Autodesk

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.

Outcome

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.

Platform + Data

Glance Platform Redesign — Multi-Ecosystem Data Experience

Mirametrix (acq. by Lattice) — 2021–2022
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Challenge

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.

My Role

Product Strategy Consultant leading the full platform experience redesign — from consumer-facing app UX to the underlying B2B OEM API/SDK integration architecture.

Approach

  • Defined a unified platform strategy bridging consumer UX and developer integration surfaces
  • Designed scalable, interoperable data experiences that worked across diverse OEM ecosystems
  • Balanced technical constraints of embedded systems with user-centered design principles
  • Created frameworks for how platform data (eye-gaze, attention, presence) surfaces across different product contexts

Relevance to Autodesk

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.

Outcome

Redesigned platform shipped on 14M+ PCs worldwide across Lenovo, Dell, and LG OEM integrations — a testament to scalable, interoperable platform data experience design.

IoT + Data Analytics

Notio Aerometer — Real-Time Aerodynamic Analytics Platform

Argon 18 / Notio Technologies — 2018–2020 · Head of Product
Notio mobile app showing aerodynamic analytics

Challenge

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).

My Role

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.

Approach

  • Designed the data experience architecture that translates raw sensor telemetry (wind speed, air pressure, motion, temperature, humidity) into a real-time aerodynamic coefficient — making physics-level data human-readable
  • Created the companion mobile app UX for real-time and post-ride analytics, helping athletes find their optimal riding position and equipment configuration
  • Developed specialized packages for coaches and bike fitters — a multi-persona platform strategy
  • Led category creation with data-driven storytelling and enterprise customer education; secured $1M in AI R&D funding (NRC IRAP, CDPQ Axe AI), opening an AI research practice at MILA

Relevance to Autodesk

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.

Outcome

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.

Multi-User Platform

National Geographic Learning — Global EdTech Platform

Nventive — 2014–2018 · UX Practice Lead
National Geographic Learning multi-user pathway UX

Challenge

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.

My Role

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.

Approach

  • Designed a multi-user pathway architecture — each user type (student, curator, sales) received tailored experiences and features within a single platform
  • Defined CMS experience for content managers, including in-platform video editing to extract relevant segments from TED content
  • Created interaction-level UX innovations: tap-to-define on subtitled video words, enhancing the learning experience through mobile-native features
  • Managed cross-cultural deployment requirements for international markets with different app distribution models

Relevance to Autodesk

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.

Outcome

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).

Digital Ecosystem + Cloud

VCA Animal Hospitals — Multi-App Digital Ecosystem

Nventive — 2014–2018 · UX Practice Lead
VCA Animal Hospitals multi-app digital ecosystem

Challenge

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.

My Role

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.

Approach

  • Architected a four-app ecosystem: MyVCA (pet owner portal with medical data, telemedicine, contextual care guides), VCA Messenger (real-time vet-owner chat), VCA Retriever (hospital intake tablet), and MySchedule (veterinarian daily workflow)
  • Designed complex cross-app data flows — e.g., an appointment booked in Retriever updates the vet agenda, triggers resource allocation, sends owner notifications, and enables pre-registration
  • Mapped the daily action flow of healthcare providers to create task-oriented interfaces that respect busy clinical workflows
  • Supported Azure Service Fabric cloud architecture decisions to handle high-volume, continent-wide data centralization

Relevance to Autodesk

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.

Outcome

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.

Let's talk platform data

I'm excited about the future of product data at Autodesk — and the opportunity to shape it.