I'm a functional, logic, and meta programmer who has passions in the lower-end of the spectrum, with particular emphasis on machine learning, natural language processing, expert systems, and other forms of artificial intelligence. I'm also data scientist with a heavy background in both frequentist and bayesian statistics.
Open source development approach, leveraging GitHub, is preferred. Chunking tasks into issues, setting milestones, documenting along the way, leveraging wikis, tracking progress via issues and commits, and other open source practices. At the conclusion you will have a solid, robustly tested, well-documented, and portable project.
Long term relationships are an aim. More than simply check items off a list, I wish to partner with you to accomplish goals in a friendly and collaborative manner. Ensuring solid communication, transparency, documentation, upbeat attitude, and flexible/iterative development are how I ensure a positive experience with successful outcomes.
Preference for asynchronous communication methods by default, while leveraging direct communication for introductions and any meeting with a solid agenda that makes good use of time.
Automation, at all levels, is a huge preference. This includes server allocation/deployment, unit/integration/regression testing, continuous integration, and code deployment.