I'm a senior developer and former tech lead.
At high-growth startups, I've led teams that scaled database (PostgreSQL, MySQL) and caching (Redis) technologies. Heavy Celery user for backgrounding data-intensive tasks.
My current projects have me working heavily with PostGIS, GeoAlchemy, & GeoJSON for mapping.
Comfortable with AWS & GCP. CI/CD evangelist. Docker user.
You might like my articles about software development on my Medium blog.
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I was Cube's founding backend engineer, working directly with the CTO to build and scale the product. I joined when the company was still in Techstars, pre-seed. At the time that I left for a sabbatical in Mexico City, I was the #1 contributor to Cube’s codebase at 300k lines, across 470+ pull requests.
More important than my individual contributions, as tech lead, I facilitated a team of 6 engineers responsible for Cube’s full-stack app (Django + Vue). Working with the product manager and CTO, I planned & was responsible for the team's implementation of Cube’s integration strategy with external systems, enabling $100k+ bookings in Q4 2021.
The backend is written in Django + Django REST Framework. Frontend components in Vue. Cache layer implemented in Redis. Async, parallel tasks across 100M records built using Celery. Deployment to AWS, with CI/CD via CircleCI + Amazon CodeDeploy.
I have a goal of reading all the Pulitzer Prize winning novels. However, every time I go to the library, I have to look up a list of the winners and remember which ones I've already read. This site is a basic checklist that solves that problem.
The backend is a Django application that uses REST Framework to serialize Book and Author models. Postgres database. Frontend is React using CSS flexbox. Makes AJAX calls to the API when a checkbox is clicked.
An anonymous chat application that uses SocketIO to instantly push new messages to all connected clients. Can deploy as a standalone app or as a chat component in a larger application.
Uses jQuery and the SocketIO client on the frontend. NodeJS backend. All message data is stored client-side, meaning chats disappear once you've left the session and the backend has no storage overhead.
Deployed to Google Cloud with manual worker scaling so sockets are consistent for all users.
A Python Flask web application that allows you to try your hand at trading stocks.
Uses real data from the IEX API, and stores user portfolios, transactions, and cash balances in a PostgreSQL database. Uses SQLAlchemy for database models and queries. Front end is Bootstrap 4.
CI/CD via Travis. Automatic deploys of passing builds to Heroku.
As a consultant, build a Python CLI tool to automate weekly marketing and reporting tasks. Connects to external APIs to search/sort 10k+ records, removed manual labor & increased efficiency by 50%, saving 4 hours/week.
Developed a Django application for managing clients, projects, and field reports for a leading dam engineering firm in Western North Carolina. Uses MySQL database and deployed with Google Cloud's Google App Engine and Cloud SQL.