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Hi there 👋

I'm a software engineer who loves making data go fast (safely!). Interested in database internals, distributed computing, & realtime architectures. I currently work as a Data Engineer for Chartbeat, where I develop systems for processing realtime & historical data at terabyte scale.

Open Source Work

Reach me at

William Dreese's Projects

baseballnodes icon baseballnodes

Using data from baseballreference.com to analyze baseball game outcomes with machine learning. Personal Project

column icon column

High-performance, columnar, in-memory store with bitmap indexing in Go

hst icon hst

history sessionizer

kafkasensors icon kafkasensors

A fully designed system that uses Kafka to stream (fake) sensor movement data into a PostgreSQL image.

movie-analysis icon movie-analysis

Using basic Data Science and ML tactics to break down a dataset of movies and their summaries.

objectdetection icon objectdetection

Four object detection algorithms in one program. Implemented in Matlab.

pooltracker icon pooltracker

Track the volume, liquidity, & pair price of Uniswap V3 liquidity pools. Uses Airflow to keep a MongoDB instance filled with real-time data, served with a React interface.

raspihome icon raspihome

Play music when you enter your room / send pictures of intruders off your Raspberry Pi

salmon icon salmon

an embedded, distributed cache built for maximizing data locality

sector-rotation-rnn icon sector-rotation-rnn

A simple, self-coded recurrent neural network that uses weekly changes in 10 major sector ETFs to predict which sectors will grow in the coming weeks.

shapenet icon shapenet

A VGG-style convolutional neural net written in python and numpy

syncer icon syncer

sync column.Collections across nodes

tsne-cuda icon tsne-cuda

A CUDA implementation of the t-SNE clustering algorithm

vlite-wh icon vlite-wh

simple vector database made in numpy, distributed

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