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Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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robertyoung2/README.md

Robert Young 👋

Technical Lead & Software Engineer at Qualtrics in Dublin 🇮🇪, where I lead the EMEA Engineering Services team - owning technical direction, architecture, and end-to-end delivery for high-value custom builds.

I build full-stack systems.

Core areas

  • Full-stack engineering — TypeScript, React, Node.js, Python
  • Cloud & microservices — AWS, distributed systems, API design
  • Applied AI / ML — machine learning, computer vision, LLM-powered features
  • Research — MSc in Computer Vision & ML, with published work in NLP and CV

Prior to software, I spent seven years in automotive systems engineering, where I qualified as a Chartered Engineer.

Links

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  1. Machine-Learning-Capstone Machine-Learning-Capstone Public

    Machine Learning Capstone training a convolution neural network to solve the Kaggle Competition - Invasive Species Monitoring.

    Jupyter Notebook 2 3

  2. dublin-bus-journey-planner dublin-bus-journey-planner Public

    Real time journey planner for Dublin Bus (Ireland). Uses ML techniques to predict journey times, implemented with Django framework.

    JavaScript 1 2

  3. dog-project-master dog-project-master Public

    Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.

    Jupyter Notebook

  4. dublin-bikes-occupancy-app dublin-bikes-occupancy-app Public

    Dublin Bikes station finder with real time available bike numbers. Uses ML models to predict bike availability hourly up to one week in advance. Implemented with Flask framework.

    Python

  5. Train-a-Smartcab-to-Drive Train-a-Smartcab-to-Drive Public

    Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modelling a complex control problem in terms of limited available inputs, and designing a scheme …

    HTML 1 3

  6. Finding-Donors-for-CharityML Finding-Donors-for-CharityML Public

    Investigated factors affecting likelihood of donations being made using real census data. Developed naive classifier to compare testing results. Trained & tested several supervised machine learning…

    HTML 11 11