I'm a software engineer interested in the web, machine learning, and how both impact us. This is my homepage, feel free to poke around.
Most excited about time series data for environmental and social impact.
Recently I've been working mostly in Python on topics ranging from ETL automation to mortgage returns to Computer Vision.
For more about me, head to my blog.
Here's a selection of projects I've recently been hacking on!
Explore the Datasets, Metrics, and Models of the Darts Time Series library.
See: Github Repo
Using AWS Rekognition + Streamlit to provide interactive OCR URL Scanner / Text Extraction on real world images.
See: Github Repo
Comparing an interactive web app built with bottle + htmx to the same idea built with streamlit.
In folder wsgi_comparison
🎥 Watch: Youtube Breakdown ✍🏻 Read: Blog Post
Left: ~50 lines of Python and HTML
Right: ~15 lines of Python
Simple guitar tuner powered by streamlit-webrtc
Demo of Full Stack Streamlit Concept. Deployed with 3 increasingly complicated backends.
See: Github Repo
Upload a CSV export from Fidelity investment account(s) and visualize profits and losses from select tickers and accounts.
See: Github Repo
Upload a CSV or excel with at least a date column and spending amount column to analyze maximum and average spending over different time periods.
Use async http request library httpx to make 48 api calls roughly simultaneously in one Python process.
Feed a dashboard of weather for all 4,000 foot mountains in New Hampshire.
See: Github Repo
Demoing useful functionalities of Pandas library in a web app.
Currently:
read_html: Parse dataframes from html (url, upload, or raw copy+paste)
Putting a frontend on TRDG CLI tool. Primary goal: creating classic videogame text screenshots with known ground truth labels
Shallow clone a repo then use unix + pandas tools to count how many lines of each file type are present
streamlit run github_code_analyze.py
Using AWS Textract + S3 + Streamlit to provide interactive OCR Web App.
See: Github Repo