I am a passionate Machine Learning Engineer applying research to products. I am most effective conducting pragmatic research and building prototypes of future thinking technologies. I enjoy reasoning about systems, thinking through problems and applying technology with intent to create tooling where none exists. I hold multiple engineering degrees with experience in diverse fields including Bio-medical Research, Sensor Design and Manufacture, Robotics, Automation, Cloud Software and Document Processing.

At Work

I have served as a visionary IC, research engineer and developer of first party software, ML and AI solutions at early and growth stage companies, spearheading many efforts related to ML including R&D, datascience and engineering.

Day to day, I foster a friendly work atmosphere that promotes passionate, curious engagement around challenging problems. I champion the pragmatic use of agile process, the appropriate introduction of automation, and the application of a product mindset.

With a focus on Deep Learning, I have identified and defined problems fit for ML, translated state-of-the-art research to production systems, and deployed scalable closed loop ML solutions to solve complex real-world challenges.

I bring a wealth of hands-on experience applying deep learning to robotics, computer vision, image processing, NLP and document understanding. I have also presented on vision, R&D, technology and roadmaps to diverse audiences.

For comprehensive work experience, checkout my Resume

For insight into my engineering process, checkout my ML Practitioner's Guide

At Play

My passion projects combine data driven design, art and engineering.

I love generative AI, interactive 3D graphics and rapid physical prototyping.

You can usually find me playing music, mountain biking or adventuring outdoors.

You can checkout side projects on my tech blog: dcyoung.github.io

Get in touch

I'd love to connect. Please feel free to reach out on LinkedIn or via email.