Resume

• The University of Texas at Austin, 2018

• Bachelor of science in Electrical Engineering

Education & Involvement

December 2020 — Element14: Introduction to TinyML by Edge Impulse

• Winner of Element14’s “Favorite Webinar of Year 2020"
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• Webinars, workshops & Interviews

Portfolio

• January 2021 — Arm Innovation Coffee Chat: Interview with Zach Shelby, Pete Warden, Alessandro Grande, & Robert Wolff

• February 2021 — Texas Instruments University: Embedded machine learning with TI LaunchPad™ development kits & Edge Impulse

• March 2021 — Element14: Industrial-Grade TinyML Applications with Silicon Labs and Edge Impulse

• May 2021 — Embedded Vision Summit: High-Speed Object Detection with Jetson Nano and Edge Impulse

• June 2021 — Arrow Festival: Deep-dive: Build Industrial-Grade Embedded Applications In Days, Not Months, with Edge Impulse and Silicon Labs

• June 2021 — Arrow Festival: Tech Snack: Build Industrial-Grade Embedded Applications In Days, Not Months, with Edge Impulse and Silicon Labs

• June 2021 — Tutorial: Connecting Sony’s Spresense to Edge Impulse

• July 2021 — Embedded Online Conference: Learning How to Deliver AI Solutions In Days, Not Months with Sony’s Spresense

• July 2021 — Interview: Edge Impulse Embedded Machine Learning AMA

• August 2021 — Hackster: Supercharge Your Products with Sony’s Spresense & Edge Impulse Embedded ML

• August 2021 — Hackster Café: Jenny Plunkett on Edge Impulse + Sony’s Spresense

• October 2021 — Tutorial: Getting Started with Edge Impulse and Sony’s Spresense

• October 2021 — DSP Online Conference: Real Life Embedded ML + The AI-Powered Nose

• November 2021 — Google TensorFlow: TensorFlow ML Community Day: Building Machine Learning models with Edge Impulse

• November 2021 — IoT Central & Arduino PRO: Factory 4.0: ML-Powered Manufacturing Workshop

• December 2021 — Adobe ColdFusion Summit: The Dawn of Machine Learning, AI and You

• February 2022 — TinyML Talks: Advanced Anomaly Detection Made Easy

• February 2022 — Element14: Machine Learning & Sensor Fusion Make Smart Cities, Smarter!

• April 2022 — Danish Sound Cluster: Edge Impulse for Consumer Audio Applications

• April 2022 — IoT Central: Classify Non-Human Voice Audio for Automation and Embedded Machine Learning

• April 2022 — Embedded Vision Summit: Deep Dive Session Interview: Edge Impulse

• May 2022 — IoT Central: Create Real-Time Object Detection on Low-Power Microcontrollers

• May 2022 — Embedded Vision Summit: Edge Impulse Deep Dive Session, FOMO: Real-Time Object Detection on Low-Power Microcontrollers

• June 2022 — Danish Sound Cluster: Keyword detection ESP32 Workshop

• June 2022 — Embedded Vision Summit: Edge Impulse Demonstration of Screw and Washer Detection with FOMO

• June 2022 — Embedded Vision Summit: Edge Impulse Demonstration of Wildlife Monitoring with Sony Spresense

• June 2022 — Tutorial: Getting Started with the Arduino Nicla Sense ME and Edge Impulse

• July 2022 — Ask Me Anything: Edge Impulse MLOps AMA

• August 2022 — Edge AI + Vision Alliance: Edge Impulse’s FOMO Technology and Sony’s Computer Vision Platform: A Compelling Combination

• August 2022 — Topio Networks: Deploying Vision-Based Models on Highly Constrained Devices

• September 2022 — Grace Hopper Celebration 2022: Kickstart Your Career in Edge AI: Design, Train and Deploy an ML Model in Under an Hour

• September 2022 — Silicon Labs WorksWith: AIML-301 Enabling Continuous Learning for ML-based Anomaly Detection at the Edge

• September 2022 — Kisaco Research Edge AI Summit: Developer Workshop: Real-Time Object Detection for Factory 4.0

• October 2022 — IoT Central: Advanced Sensor Anomaly Detection

• October 2022 — Hardware Pioneers Max 2022: Object detection live demo using Edge Impulse to count washers and screws

• November 2022 — Arduino: K-Way x Arduino "Prêt-à-tinyML" - Massimo Banzi and Jenny Plunkett

• March 2023 — Edge AI + Vision Alliance: 2023 Deep Dive Session Interview: Edge Impulse

• September 2022 — TinyML Talks: tinyML Smart Weather Station: Development of Low-Cost Observation Networks to Support Weather and Hydrology Applications

• April 2023 — Harvard SciTinyML: Opening Keynote with Dan Situnayake: Workshop on Scientific Use of Machine Learning on Low-Power Devices: Applications and Advanced Topics

• June 2023 — Edge Impulse: Website Introduction to Edge Impulse for Embedded Engineers

• October 2023 — NVIDIA Omniverse: Training Computer Vision Models With Synthetic Data | Omniverse Live

• November 2023 — NVIDIA TAO Toolkit: Fast Track AI to the Edge with NVIDIA TAO & Edge Impulse

• September 2023 — The Things Conference 2023: Rapidly Develop AI Models for Production-Grade IoT Edge Devices

• November 2023 — Dell “Over the Edge” Podcast: Generative AI at the Edge with Daniel Situnayake, Head of ML and Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse

• April 2023 — Edge Impulse: "AI at the Edge" Fireside Chat with Jenny Plunkett & Daniel Situnayake

• March 2024 — NVIDIA GTC 2024: Swift Path to Edge AI: Revolutionizing Development Through Synthetic Data

• March 2024 — NVIDIA GTC 2024: Getting AI to the Edge with NVIDIA Jetson Orin, Edge Impulse and Lumeo

• Technical Writing

• O'Reilly Media

• Book — AI at the Edge: Solving Real World Problems with Embedded Machine Learning by Daniel Situnayake & Jenny Plunkett

• Edge Impulse

• Tutorial — Using Doppler Radar for Gesture Recognition with the Infineon Sense2GoL-Pulse

• Blog — Utilize the Power of the Crowd for Data Collection

• Blog — Introducing Downsampling for Time Series Data

• Blog — Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning

• Blog — Bird Classification in Remote Areas with Lacuna Space and The Things Network

• Blog — Continuous Audio Classification Directly in Your Web Browser

• Blog — Announcing Support for Sony’s Spresense Microcontroller

• Blog — Unleash the Power of LTE-M/NB-IoT & Edge AI with the nRF9160 DK

• Blog — Announcing Official Support for the Silicon Labs xG24 Dev Kit

• Blog — Showcase Your Public Projects with Markdown READMEs

• Blog — Advanced Anomaly Detection with Feature Importance

• Blog — 3 Ways to Do AI-Assisted Labeling for Object Detection

• Blog — Rapidly Develop Machine Learning Models for Edge Applications Over BLE

• Blog — Announcing Official Support for the Arduino Nicla Sense ME

• Blog — Announcing Official Support for the Infineon CY8CKIT-062S2 Pioneer Kit

• Documentation — Getting Started with Arduino Nicla Sense ME

• Documentation — Getting Started with Nordic Semi Thingy:53 & nRF Edge Impulse App

• Documentation — Getting Started with Sony’s Spresense

• Blog — Bring Your Own Model Into Edge Impulse with ONNX

• Blog — Rapidly Detect Changes in Your Environment with Edge Impulse and Nordic Thingy:91

• Blog — Solving Real World Problems with Embedded Machine Learning: "AI at the Edge" by Daniel Situnayake and Jenny Plunkett

• Blog — NVIDIA: How to Train an Object Detection Model for Visual Inspection with Synthetic Data

• Documentation — NVIDIA TAO Toolkit - Edge Impulse Integration

• Documentation — NVIDIA Omniverse - Edge Impulse Integration

• arXiv Cornell University — Edge Impulse: An MLOps Platform for Tiny Machine Learning

• Arm Mbed

• Blog — How to use emWin with Mbed OS

• Blog — How to use the LPCXpresso54608’s Touch Panel

• Tutorial — Updating an old Mbed 2 component to Mbed OS

• Tutorial — Creating your first Mbed application

• Forum — Library compiling issue

• Forum — Microbit & local code repository issue

• Forum — Beginning developer notes & advice

• Forum — How to view API docs offline

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