matt hibbs

Hi there, I'm a software engineer based in New York City. Check out some of my open source projects, which have won competitions and led to academic co-authorships.

My proficiencies include building frontend interfaces, high performance computing, web development, and systems programming. I enjoy cooking, working out, and poker in my free time.

portfolio

machine learning

Sherlock

Video analysis using OpenAI and SpaCy

Sabu.ai

Twitter sentiment analysis aggregator using BERT transformers

Haikai

Natural language generation of Haiku poems from images

Educatus

Customizable AI powered dashboard for students

Aulos

Watch brand classification using Azure and Computer Vision

statistics

GStatSim

PyPi package for geostatistical simulation and interpolation
  • 10,000+ downloads

Data Science etc

Various analysis'

fullstack

Timeblend.fyi

Modern scheduling tool for coordinating large team collaborations

web sockets

Plexy.fun

Real-time collaborative pixel canvas inspired by r/place

TCP Wall Server

Message board

c++

Spotify Beatmap Downloader

Import a playlist to mass download OSU! beatmaps

.wad File Reader

with FUSE / N-ary Tree implementation

in development

Rollsolid.com

Data-based tools for Texas Holdem Poker featuring Monte Carlo simulations of dynamic game states, Odd ratio calculators, time series analysis, etc

publications

GStatSim V1.0: a Python package for geostatistical interpolation and simulation.

Geoscientific Model Development (2023)

E.J. MacKie, M. Field, L. Wang, Z. Yin, N. Schoedl, M. Hibbs, A. Zhang.

https://gmd.copernicus.org/articles/16/3765/2023

A Python multiprocessing approach for fast geostatical simulations of subglacial topography.

N. Schoedl, E.J. MacKie, M. Field, E. Stubbs, A. Zhang, M. Hibbs, M. Gravey (in press)

Submitted to Computing in Science and Engineering

matt hibbs

15696 Portico Drive, Wayzata, MN 55391

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