Project Description

In September 2014, we thought there may have been a security flaw in how Tinder authenticates its users via Facebook. We rolled up our sleeves for a weekend and thankfully found that our suspicions were unfounded and wouldn't have to disclose it to the Tinder team.

Through this process, though, we learned a lot about the Tinder API and decided to apply that knowledge by building an experimentation platform that allows us to run A/B tests and collect data to understand human behavior on the world's most popular dating app.

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• Tinder robot reveals men are not as terrible as you might think
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Technologies Used

• Python (mitmproxy, pandas, matplotlib, ggplot)
• Ruby (httparty, Rails)
• AngularJS
• PostgreSQL

Project Description

September 2016 - Present

We use daily/weekly/monthly satellite images from different sources from the last 9 years to analyze features in images at scale (vegetation, city density, etc). Current data size is about 100TiB with ~1TiB being ingested daily. Project has the potential to grow to 1PiB-5PiB over the coming 1-2 years.

Technologies Used

• Google Cloud Platform
• Python
• PostgreSQL

Project Description

June 2014 - Present

Standup comedy is a tough hobby and an even tougher profession. Mic Manager is a Software as a Service (SaaS) offering to help standup comedians discover and manage shows around them.

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Services

• Ruby on Rails
• Javascript (React, jQuery)
• Postgres
• Geolocation (GIS)
• Heroku
• Mobile-friendly design/HTML/CSS (Bootstrap)

Project Description

April 2014 - Nov 2014

A stealth startup team initially needed some help with product management. The engagement has grown to providing ongoing engineering and executive-level talent to run the day-to-day engineering organization to build an ambitious web application.

Services

• Product Management (Customer acquisition, usability research)
• Agile Project Management (JIRA, Slack, GitHub)
• Talent sourcing and management (sourced and hired developers in SF and remote locations)
• Ruby on Rails
• TempoDB
• Postgres
• Javascript (Angular JS)

Project Description

April 2014 - Present

Financial industry clients are extremely conservative on what details can be published publicly. This is an ongoing engagement that involves a robust data pipeline and automated reporting. The ultimate goal is to empower traders to make better trading decisions.

Services

• Python
• Pandas, Scipy, Numpy, Matplotlib
• SQLAlchemy
• Automated email reports
• MySQL (performance tuning)
• Financial APIs (Bloomberg, QUANDL, FRED)
• Flask, Django
• InfluxDB, Grafana
• JavaScript (ES2015, React)

Project Description

SFRails is the premier monthly meetup group for the Ruby on Rails community in San Francisco. Each month over 150 people attend to learn and network with great speakers. CleverPoint founder and CEO Paul Mestemaker gave a talk on working with timeseries data using TempoDB and their pre-release Ruby gem.

Services

• Ruby on Rails
• TempoDB
• Presentation
• Live Demo
• Training