Staff Engineer · Developer Relations
Jenny
Speelman
(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.
Building the bridge between developers and edge AI
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.
Where I've worked
Staff Engineer, Developer Relations
Driving developer relations as Edge Impulse becomes part of Qualcomm, continuing to grow the Edge AI developer ecosystem globally from Amsterdam.
Senior Developer Relations Engineer
Built Edge Impulse's developer community through technical content, partnerships, conference presence, and hands-on developer support across the TinyML ecosystem.
User Success Engineer
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.
Applications Engineer, Graduate Software Engineer & IoT Intern
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.
AI at the Edge
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 →
Blogs, docs, research & tutorials
Research
Edge Impulse — Blogs & Tutorials
Using Doppler Radar for Gesture Recognition with the Infineon Sense2GoL-Pulse
Read →Utilize the Power of the Crowd for Data Collection
Read →Introducing Downsampling for Time Series Data
Read →Introducing the EON Tuner: Edge Impulse's New AutoML Tool for Embedded Machine Learning
Read →Bird Classification in Remote Areas with Lacuna Space and The Things Network
Read →Continuous Audio Classification Directly in Your Web Browser
Read →Announcing Support for Sony's Spresense Microcontroller
Read →Unleash the Power of LTE-M/NB-IoT & Edge AI with the nRF9160 DK
Read →Announcing Official Support for the Silicon Labs xG24 Dev Kit
Read →Showcase Your Public Projects with Markdown READMEs
Read →Advanced Anomaly Detection with Feature Importance
Read →3 Ways to Do AI-Assisted Labeling for Object Detection
Read →Rapidly Develop Machine Learning Models for Edge Applications Over BLE
Read →Announcing Official Support for the Arduino Nicla Sense ME
Read →Announcing Official Support for the Infineon CY8CKIT-062S2 Pioneer Kit
Read →Bring Your Own Model Into Edge Impulse with ONNX
Read →Rapidly Detect Changes in Your Environment with Edge Impulse and Nordic Thingy:91
Read →Solving Real World Problems with Embedded Machine Learning: "AI at the Edge"
Read →How to Train an Object Detection Model for Visual Inspection with Synthetic Data
Read →Unlock Greater Data Flexibility: Ingest Tabular Data
Read →PatchCore Boosts Visual Anomaly Detection in Edge Impulse
Read →Impulse Experiments: Revolutionize Your AI Project Workflow
Read →How to Use USD Assets for Any Edge AI Use Case with NVIDIA Omniverse
Read →Edge Impulse — Documentation
Getting Started with Arduino Nicla Sense ME
Read →Getting Started with Nordic Semi Thingy:53 & nRF Edge Impulse App
Read →Getting Started with Sony's Spresense
Read →EON Tuner Guide
Read →NVIDIA TAO Toolkit — Edge Impulse Integration
Read →NVIDIA Omniverse — Edge Impulse Integration
Read →Tabular Data (Pre-processed & Non-time-series)
Read →Visual Anomaly Detection (FOMO-AD)
Read →Arm Mbed
How to Use emWin with Mbed OS
Read →How to Use the LPCXpresso54608's Touch Panel
Read →Updating an Old Mbed 2 Component to Mbed OS
Read →Creating Your First Mbed Application
Read →Library Compiling Issue
Read →Microbit & Local Code Repository Issue
Read →Beginning Developer Notes & Advice
Read →How to View API Docs Offline
Read →Webinars, talks & interviews
50+ webinars, workshops, keynotes, conference sessions, tutorials, and podcast appearances — from NVIDIA GTC to Grace Hopper, Edge AI Foundation to The Things Conference.