Ask HN: Freelancer? Seeking freelancer? (December 2016)

We're a team of 2 engineers with 10+ years industry experience each.

We build products and consult. We specialize in the following:

* Data engineering and data pipelining in the cloud

* Full stack web development

* ML with Tensorflow

Technology buzz words: Python, Ruby, Node, Java, Groovy, Ruby, Javascript, Vue, React, Express, Rails, Docker, Tensorflow, Machine Learning, Computer Science

We have hourly/daily/weekly rates with availability starting early 2017. Contact me at martyn.garcia at gmail.com for more information.

Technologies: Swift, Objective-C, GoLang, Scala.

Résumé/CV: https://ca.linkedin.com/pub/liwei-zhang/2/51/344

Email: matt dot z dot lw at gmail dot com

GitHub: https://github.com/liweiz

An iOS app I created: https://itunes.apple.com/app/id933671952

A module I'm working on in Swift: https://github.com/liweiz/DropboxWrapper.

An observer/learner/thinker/doer is open for opportunities.

Location: Europe / Nomadic

Remote: Yes

Full stack and ops generalist. Have built first version of a startup from requirements / business analysis through front end, backend (Ruby on Rails), payment, email (AWS SES), sms integrations, infrastructure design and deployment on dedicated servers with Ansible. Interest in security and secure messaging.

Ruby, Rails, Java, Perl, Javascript, Ansible, FreeBSD, OpenBSD, Ubuntu, DNS, NTP, SMTP,...

Homepage: https://mm0hai.net

Email: river @ above domain

Github: https://github.com/anm

I can prototype new ideas, research technologies/trends, extend/maintain an existing system, or quickly build out a one-off microsite. I can work solo or in teams with equal ease. I'm a full stack programmer primarily using C# for backend work, but can provide support for other common languages like PHP.

Portfolio - http://wetzdev.com/

Email - my user name on gmail

Data scientist. Python (scipy, scikit-learn), R (hadleyverse) and node.js/javascript/coffeescript for glue and web interfaces. Familiar with pretty much any kind of statistical analysis and quite a bit of machine learning. I also do a lot of more warehousey stuff, like integrating the data from various analytics services (Google, Adobe, Facebook, whatever) for media companies. Particularly interested in analytics and metrics. MS in statistics but before that worked as a back-end Python coder for 5-6 years. See some of my code at https://github.com/debrouwere/. I also teach workshops (anywhere you're willing to fly me to) about everything statistics, in particular to non-techies: how to interpret and communicate numbers, how to figure when correlation does or does not indicate causation, how to read scientific papers, data visualization.