Staff Engineer · Developer Relations
(née Plunkett)
I help developers build intelligent things at the edge — from sensor to silicon to shipped product. Co-author of AI at the Edge (O'Reilly). Speaker, writer, tinkerer.
I'm a Staff Engineer in Developer Relations at Edge Impulse (now part of Qualcomm), based in Amsterdam. For over five years I've helped developers, researchers, and companies take machine learning from the cloud to the constraint — tiny sensors, microcontrollers, and the devices that actually touch the physical world.
Before Edge Impulse I spent three years at Arm working on Mbed OS and the Pelion IoT platform, and I studied Electrical & Computer Engineering at The University of Texas at Austin.
Driving developer relations as Edge Impulse becomes part of Qualcomm, continuing to grow the Edge AI developer ecosystem globally from Amsterdam.
Built Edge Impulse's developer community through technical content, partnerships, conference presence, and hands-on developer support across the TinyML ecosystem.
Mastered Edge Impulse solution building; supported partners porting to new device targets; defined data acquisition, ML development and deployment strategies; produced tutorials, blogs, and videos; represented Edge Impulse in the wider TinyML community.
Progressed from IoT intern to graduate software engineer to applications engineer over three and a half years. Developed Mbed OS and Arm Pelion Cloud solutions for clinical asset tracking, smart lighting, and workplace monitoring. Created a C++ WebSocket library ported to JavaScript, Android Java, and C#. Authored Mbed OS documentation, tutorials, and blog posts; supported the developer community via forums, workshops, and sample code.
Solving Real World Problems with Embedded Machine Learning
Co-authored with Daniel Situnayake — the definitive guide to building machine learning systems for resource-constrained devices. Covers data collection, model training, and deployment on microcontrollers, from concept to production.
Read on O'Reilly →
50+ webinars, workshops, keynotes, conference sessions, tutorials, and podcast appearances — from NVIDIA GTC to Grace Hopper, Edge AI Foundation to The Things Conference.