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HugoPhibbs/README.md

Master's in Computer Science Graduate from the University of Auckland

  • My technical background is primarily in GPU-accelerated data mining and full-stack engineering
  • Interested in roles within full-stack, backend or data engineering

Selected Projects

  • nz-census-map: Visualising the NZ Census with an interactive map. Built using Python and Next.js
  • BurstKV: Serverless Redis written with Go
  • flask-preserve: Compress and cache Flask responses using just one decorator
  • CuFalconn: GPU-accelerated nearest neighbour search, using random projection and locality sensitive hashing
  • CUDA-sDBSCAN: GPU-accelerated density based clustering using random projections
  • MaraeMaps: Team project for visualising Marae locations around NZ.

Pinned Loading

  1. BurstKV BurstKV Public

    Serverless Redis

    Go

  2. nz-census-map nz-census-map Public

    Visualising and comparing NZ censuses with an interactive map

    1

  3. CuFalconn CuFalconn Public

    GPU-accelerated Nearest Neighbour Search using Hashing and Random Projections

    Dockerfile

  4. CUDA-sDBSCAN CUDA-sDBSCAN Public archive

    A GPU accelerated approximate DBSCAN algorithm

    C++ 1

  5. MaraeMaps/MaraeMaps MaraeMaps/MaraeMaps Public

    Android app for mapping Marae

    Kotlin

  6. flask-preserve flask-preserve Public

    Compress and cache flask responses with one decorator

    Python