Josh Brown Email: joshcarlbrown@gmail.com
Languages: Python, Java, SQL, Rust, Haskell Github: joshcbrown

Education

  • Bachelor of Science, Major: Mathematics and Statistics WAM: 87.778
    University of Melbourne Expected Graduation: December 2023
  • Diploma in Computing WAM: 92.667
    University of Melbourne Expected Graduation: December 2023

Experience

  • CSL
    Platform Engineer May 2022 - June 2023

    • Constructed a data dashboard for chemists to determine if current experiments are under statistical control

    • Transformed manual pipeline to an automatic data pipeline through integration with company data lake

    • Deployed system to be used by 100+ chemists in practice

  • Deloitte
    Data & AI Summer Vacationer Summer 2022

    • Engaged in data discovery and requirements scoping, including regular meetings with client (Coles) to synthesise understandings

    • Performed time series analysis on sales history of seasonal products to create insights for store managers

    • Gave a pitch to senior members of the team for a product idea following the internship, which was subsequently built upon

  • University of Melbourne github
    Mathematics and Statistics Vacation Scholar Summer 2021

    • Investigated the effectiveness of score matching, a technique for statistical inference

    • Implemented the technique in a deep neural network using PyTorch

    • Researched and evaluated applications such as creation of an implicit variational auto-encoder

Projects

  • pogodoro — a terminal UI pomodoro timer github

    • Session-persistent task manager and pomodoro timer, built using Rust and SQLite

    • Native notification support for macOS and Linux

  • Artificial Intelligence, Assignment github

    • Worked in a pair to build a two-player game-playing agent

    • Implemented Negamax and pruning, as well as additional advanced performance and gameplay optimisations such as Zobrist Hashing and game-specific tactics

    • In a tournament against  130 other agents, our agent came 1st place

  • mandelbrot-py github

    • Command-line tool to plot images of the Mandelbrot set

    • Several customisable options, including palette, plotting algorithm and resolution

    • Uses numba for just-in-time compilation to greatly improve runtime speed