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CUMULUS

May 2017 - Present

Cumulus is a new cryptocurrency with its own blockchain and token. A command line utility allows users to send and receive funds securely from their account. Users can also use the Cumulus app to participate in securing the network by mining new tokens for themselves.

Cumulus uses proof-of-work based on SHA256 hashes to secure the network and ECDSA for wallet keys. The client is an open-source Go project.

DRIVER

May 2016 - Present

Driver is a ride-sharing app for Android that ensures everyone gets home safely. Users provide their destination address and Driver intelligently matches passengers to drivers to minimize driving time. When passengers are matched to drivers, Driver generates and displays an efficient route to each passenger's destination.

The Driver app is built with Java and leverages a Firebase backend. Because of this design, the algorithm matching passengers to drivers is distributed across devices without compromising battery life.

KAGGLE COMPETITION

January 2017 - May 2017

Launch Pad's Machine Learning team participated in the annual Data Science Bowl, hosted by Kaggle.com. The task was to predict presence of lung cancer in CT scans in order to create a model for early lung cancer detection. In the United States, lung cancer affects 225,000 people every year, and accounts for $12 billion in health care costs.

The team used several deep learning techniques including convolutional neural networks with several different architectures. Our approach placed in the top 15% of teams.

SIFT

September 2016 - Present

Sift is a service that gives businesses a birds-eye view into their customers' feedback. Sift connects to feedback forms, support email, and reviews to create a visual summary of a business's customer relationships using natural language processing. This provides a quick way to see everything important that customers are saying.

Sift is built using a React/Redux frontend and a microservice-based backend with services built using Python and Go. Data is processed using a queueing system based on RabbitMQ that delivers tasks to a Celery processing cluster.

CASHOUT

January 2017 - May 2017

Cashout is a fantasy currency trading app. When you open an account, you receive $1000 USD, from there it's up to you! Trade world currencies and cryptocurrencies, and see how your portfolio performs against the USD or world economy indexes.

Cashout was built using Ruby on Rails and Redis. It integrates with popular currency and cryptocurrency price indexes for real-time trading data.

ROCKET CAST

September 2016 - May 2017

RocketCast is a full-featured podcast player and discovery tool for iOS. Search for and subscribe to podcasts in the world's largest podcast directory, read show notes inline with podcast metadata, and download in-app for offline listening. Skip ads and play at double or triple speed.

RocketCast is built for iOS using Swift and uses the iTunes podcast registry for podcast discovery.

ROCKET POLL

January 2016 - September 2016

Developed as a replacement for iClickers without the need for specialized hardware, RocketPoll allows users to create and respond to polls in real-time. You can choose custom questions and answers, and limit the time during which questions are valid.

RocketPoll was built using Swift and a FireBase backend.