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dcyoung/README.md

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I am a passionate Engineer focused on software products. I enjoy reasoning about systems, conducting pragmatic research and building new technology. I hold multiple engineering degrees with experience in diverse fields including Bio-medical Research, Sensor Design and Manufacture, Robotics, Automation, Document Processing, IOT & Geospatial Data Processing and Cellular Networking.

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 experience in robotics, computer vision, 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

Outside of work I enjoy building things with my hands. My passion projects combine data driven design, art and engineering.

You can also find me playing music, mountain biking, motorcycling 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.

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  1. r3f-audio-visualizer r3f-audio-visualizer Public

    An audio visualizer built with react and THREE.js

    TypeScript 90 16

  2. pt-spleeter pt-spleeter Public

    A pytorch implementation of Spleeter for audio source separation.

    Python 8

  3. ml-triangulation ml-triangulation Public

    Experiments using ML to triangulate targets based on observations from nodes in a network.

    Jupyter Notebook

  4. coffee-table coffee-table Public

    Tools, visuals and CAD related to the design of a custom coffee table derived from bathymetry data.

    Python 2

  5. OCR_HandWritingClassifier OCR_HandWritingClassifier Public

    Research Project: Optical Character Recognition using OpenCV and Deep Learning

    MATLAB 11 6

  6. r3f-nn-visualizer r3f-nn-visualizer Public

    An interactive neural network visualizer built with tf.js & react-three-fiber

    TypeScript 2