I'm an engineer with 5+ years of experience creating distributed systems on cloud infrastructure. I utilize skills in DevOps, automation, and engineering with technologies like AWS, Python, Node, and Docker. I've built platforms from the ground up, rebuilt legacy projects to improve performance and reliability, and made changes to bring stability to brittle undependable services at scale. I startups, learning new technology, teaching what I know, and Jesus.
There are plenty of jobs in tech, so I'm not looking for jobs. I'm always looking for my best opportunity to learn, grow, inspire, and build out resources to support amazing platforms. I want to do work that I'm proud to put my name on - whether its with a big company or just a team of two. I've never been afraid of change or incapable of failing fast - success depends on it. I enjoy leading others and doing work that makes an impact.
Flask, Torando, Express JS, Angular 2+, Vapor, .Net Core, Serverless, MEAN Stack
PostgreSQL, MongoDB, Sql Server, DynamoDB, RDS, SQLAlchemy, Redis, Leaf
Docker, Travis, AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, Jenkins
NPM, PIP, Swift Package Manager, CocoaPods, Carthage for dependency management. Gulp and Bash for task/build assets
AWS - EC2, ECS, ECR, RDS, S3, ElastiCache, SSM, Lambda, Route53, CloudFront. Microsoft Azure, Heroku
Etheruem, Smart Contracts, Solidity, MetaMask, Cryptocurrency/Platform tokens. Built small projects for personal use
dlib, TensorFlow (python & swift), AWS SageMaker, AWS Rekognition. Built small projects for personal use
Working with x-team has given me the opurtunity to work with unbelivable partnering companies; taking ownership of their products and driving quality. For one health and fitness streaming startup I was able to improve the start up time of their video player by 65% and decrease its package size by 50%. I also lead an initive to convert a data heavy lambda api into a smarter concurrent system that performed much faster ‐ improving load times for clients globally.
As a leading engineer at Verys the tasks are always changing and I'm always driven to take on new challenges with new technologies and new teams. Most recently the challenge has been leadership of a team responsible for a large Python, Go, and Java platform built on AWS to support one of the largest gaming companies in North America.
Kudos is the solution to the overwhelming online purchase options that lead to buying the item you want at a higher price than neccisary. Kudos uses scraping and machine learning to aggregate price, rating, image, and feature data for products all over the internet. Version 0.0.1 will be available in October.
As a devops engineer creating and managing infrastructure on AWS you need to manage huge files of yaml markup describing your platform. That yaml is hard to learn, hard to remember, hard to error check, and outright hard to understand. Cloey is a native Swift app that reads the yaml file and creates a user friendly interface with easy to use icons, buttons, and helpful intelisense that allows engineers to quickly and safely make changes to their infrastructure.
This project was a technical success but an ethical failure... I listened to my favorite radio station host a contest hourly that you texted a keyword to the same number to enter to win. After a few weeks I realized there were only a small handful of keywords... a plan was hatched and this project was born. It's a lambda that uses Twillio's api and the radio stations api to mass send contest entries every hour. After learning the contest was nationally hosted I realized the cost to purchase the batches of Twillio phone numbers and run the service was out weighing the delights of winning.