Dominic Pajak

Leadership

Product 0-1

As a Product Manager I took entry-level Arm Cortex-M processors from concept to global launch, partnering with the world's leading semiconductor companies and OEMs to deliver one of the fastest growing products in Arm's history.

Roadmapping

Competitive Analysis

Data-Driven Decision Making

Requirements Gathering

Product Launch

Cross-Functional Collaboration

Strategy

As Arm's Director IoT Segment I drove Arm beyond its traditional audience to engage developers of emerging applications directly and accelerate into new markets. I built partnerships with the hardware startup ecosystem, Raspberry Pi, and Arduino.

Vision

Strategic partnerships

Team Leadership

Market Analysis

Industry Recognition

Press and Analyst Briefings

Ecosystem

At Arduino, I worked with Google to enter the nascent embedded AI market. The launch reached hundreds of thousands of developers, and led to a partnership with Harvard University to deliver an Arm Cortex-M based kit for their TinyML course.

Innovation

Developers

Mass Market

Startups

Market Entry

Prototyping

Analytics

Values

Access to a computer at an early age opened up huge opportunities for me, so I'm a big believer in Arduino and Raspberry Pi lowering barriers for the next generation of kids - and companies. I've seen first hand that vast scale is possible if you inspire people with the potential of technology, and empower them to create.

Technology keeps moving forward. As an industry we have to be life-long learners, and teachers.

Prototyping

The best way to truly understand the potential of a technology is to built with it. These are just a few of the projects I've built for research, for demos, or for fun.

GenAI / Mixed Reality

Imagine conjuring any object into existence on command. In the VoxelAstra project I combined voice recognition and generative AI to create a mixed-reality experience that let you do just that. Built over the holidays, it was mainly just tested with snowmen.

TinyML

At Arduino I used color and proximity sensor data with on-device ML to detect fruit variety and ripeness. The accompanying blog I wrote is featured in TensorFlow Blog.

Robotics

This project for READY Robotics used live motor torque data for training and inference of preditive maintenance AI. As well as integrating this flow end-to-end, I built a live dashboard and 3D visualization.

Social Media

BBC Micro Bot took geek Twitter by storm. People pushed the limits of possibility within one tweet of retro code. It gained millions impressions, and thousands of users who between them submitted over 10,000 programs. Now on Mastodon.

Spatial Computing

Virtual Beeb is a free computer simulation in a webpage. Now ported to mixed-reality using WebXR, you can experience it today on Meta Quest 3 and Apple Vision Pro!

Web

AI copilots have made coding vanilla sites fast! I built and open sourced this site in case it's useful to anyone else. Did you try the interactive Conway's Game of Life at the top of the page?

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