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 SpaCySabu.ai
, Twitter sentiment analysis aggregator using BERT transformersHaikai
, Natural language generation of Haiku poems from imagesEducatus
, Customizable AI powered dashboard for studentsAulos
, Watch brand classification using Azure and Computer Visionstatistics
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 collaborationsweb sockets
Plexy.fun
, Real-time collaborative pixel canvas inspired by r/placeTCP Wall Server
, Message boardc++
Spotify Beatmap Downloader
, Import a playlist to mass download OSU! beatmaps.wad File Reader
, with FUSE / N-ary Tree implementationin development
Rollsolid.com
, Data-based tools for Texas Holdem Poker featuring Monte Carlo simulations of dynamic game states, Odd ratio calculators, time series analysis, etcpublications
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