Matthew Keas

On-demand pharmacy delivery and order management system.

Tech: React Static Boilerplate, React, Redux, Redux-Form, Redux-Saga, Webpack, PostCSS, Mocha/Chai for TDD. AWS Managed Kubernetes for Node.js API Docker deploys. AWS S3 for static asset hosting. Stripe for payment processing.

Swift app for Magnolia Farms' eCommerce shopping platform, as made famous by HGTV's Fixer Upper.

Tech: Firebase SDK, TypeScript, React Native, Mobile analytics, Swift, Shopify integration, Apple Pay, integrated custom user properties/events/funnels for analytics.

Planned "large surface area" heuristics to look for with Google BigQuery (exporting data from Firebase) to understand widespread user habits and product/category performance.

Live coding environment with offline + ECMAScript 2016/2017 + Flow (type annotation) support. Uses an embedded Babel instance compiled for the browser environment to compile user's code on the fly.

• Offline IndexedDB and LocalStorage cache allows for the fastest, most-natural visual response of keypresses.
• Embedded proxying of JS errors and TDD calls to the UI for intuitive and unobtrusive debugging.
• Support for saving/embedding links in Google URL shortener (for small enough files).
• No database needed—code is embedded in the URL, easily shared without overwriting the presenter's code.
• Great tool for testing library and algorithm integrations—support for `require()`-ing npm packages via browserify-ing proxy.

Tech: HTML5 low-level execution and Frame message-passing via streaming/observables; Flow + Webpack + Babel + ES6/7;

StackWave builds custom .NET platform deployments to enable drug research teams to collaborate and speed up analysis and analytical data mining of genomic and protein-folding data. Powered by .NET, a custom platform and UI components, and a heavily optimized data layer on top of PostgreSQL.

Many customers have custom deployments that I have worked on, including several IPO'd genomics and drug research companies and the largest non-profit research institutions in the US.

Tech: CodeIgniter, Apache Server, PostgreSQL, and Solr for full-text search. The real-time chat components were built on Node.js Streams and WebRTC, and the UI components were coded primarily with Backbone and jQuery. The mobile apps for iOS (iPhone and iPad were supported) were built using Appcelerator Titanium and the JS-bindings to the Native iOS platform.

Tech: ASP.NET MVC, MS SQL, IIS dedicated host. Front-end: Backbone app with interactive SVG drawings driven by Raphael.js. Internationalization and single-page app framework designed for the project.

Offloaded processing of engineering workflows for the specification, validation, and calculations involved in defining, geographically placing, and fine-tuning of metal structures against building codes and physical loads/requirements.

Discovery platform: An open marketplace for BCM network scientists to leverage compute resources, paid for with grant funds.

Tech: Node.js, PostgreSQL, custom back-end CRM and eCommerce integrations. Backbone.js, responsive front-end with animations.

Configured deployments with Docker, configured and shared images in Docker Hub.

Windows desktop workflow and task management app for Microsoft to pre-install on large hardware order for Halliburton, integrating with legacy workflow SOAP endpoints. Implemented live tiles, badges, toast notifications, background tasks, and lock screen updates.

Tech: Windows Desktop SDK, notifications using Azure Notification Hubs, legacy SAP web service integration via SOAP endpoints proxied through Azure cloud services, Docker configurations for Node.js services.

Interactive experience integrating video streams from a non-linear documentary for submission to Sundance Interactive.

Tech: Heroku deployment pipeline, functional reactive programming, sheets.js, responsive WebGL UI with physics-engine.

Contracted by an NFL veteran of both the Atlanta Falcons and Cincinnati Bengals, I collaborated with a designer to launch the first version of Fanflow, a marketplace for autographed sports memorabilia straight from pro-footballers, enabling pros to sign and distribute goods directly to fans.

Tech: Preact/React isomorphic app, TypeScript, Node.js, Zeit Cloud, Docker build, GraphQL APIs hosted over Google Cloud SQL (PostgreSQL); serverless endpoints and webhook integration; Stripe and messaging (SMS/Email) integration; tax record and background check verification.

The project was put on pause in September 2017 to allow the owner to try other marketing approaches and business deals.

Clan is a super succinct, no-dependency set of utilities written in TypeScript with a slightly opinionated collection of features that integrate particularly well when used together.

Explores approaches in functional data structures, virtual DOM, multi-proc data streams, pipelined web server streams over low-level Node.js APIs

BatchQL is a language-level query optimizer for GraphQL. It parses GraphQL queries into an Abstract Syntax Tree, and magically binds logical queries and minimizes payload and chattiness to speed up parallel requests to a GraphQL endpoint.

Uses some pretty complex compiler logic to achieve this at an insanely fast speed using a technique called parser-combinators.

Faster than Apollo's query-batching implementation.

Hillsboro Aviation flight schools contracted my clients to build an in-flight device to automatically track and report analytics and scorings on flight students' sessions, as well as integrate some machine learning models and statistics across whole schools and instructors to rank and score general student and staff success rates.

Software included full A/V recording + playback, pitch/yaw/heading/speed/etc tracking with high precision 6-axis gyro and sensors, plus interactive highlights of trouble spots and study points backed by data and heuristics from student sessions.

Goal: to accelerate student learning success in flight school scenarios.