DAQRI is developing cutting edge augmented and mixed reality hardware, software and content. This includes active research on machine vision, machine learning, human computer interaction and holographics.I reported directly to the CTO and lead the team that developed a high performance IOT streaming platform for collecting and analyzing sensor data, logs and video data. The system was designed from the ground up to run anywhere: On a dev’s machine, in the cloud, or on an on premise solution. I built the underlying infrastructure for this project as well as many of the individual dockerized components. The infrastructure was built using the following technologies:- AWS (VPC)- Terraform, which defined every component of our infrastructure as code.- Rancher/Cattle for Docker container orchestration and networking.All applications built on the infrastructure are Dockerized. Below are many components I either worked on, or independently built:- Kafka cluster- Mosquitto cluster (mqtt broker)- Kafka streams applications (some Java, mostly Scala)- Zookeeper cluster- Spark cluster- Angular applications- Node.js applications- Python applications- Jenkins (multi branch pipelines with groovy)- ZeroMQI was the first person at Daqri to build out a full multi-environment cloud infrastructure using purely terraform (no AWS console), and my team was the first to build out a complex, fully Dockerized system. This lead to a few internal resources that are widely used and referenced at Daqri including:- a tool called tf-env, which makes managing multiple environments with terraform extremely easy. - a detailed Terraform style guide including a sample project.- a detailed Docker style guide, including how to make projects rancher friendly.Because of my understanding of these technologies, I guided several internal teams in their use.

Leading a lean software team responsible for mobile (iOS and android), web and infrastructure development including 5 mobile apps and 2 mobile SDKs.- coordinate/plan development efforts with local and remote team members- work closely with design and product team- plan technical research projects with neuroscientist team- conduct technical and non technical interviews for various teamsPersonally responsible for implementing our infrastructure as code and implementing CI/CD tools.- implementing AWS infrastructure as code with Terraform (VPCs, private vs public subnets, policies, autoscaling groups, load balancers, S3, Databases, etc) - Continuous integration and deployment with Jenkins, Fastlane and Hockeyapp.- application development and containerization with Docker

Led the team that developed Beatport Live for Mac, which was a private streaming application for festivals and DJs.- Developed Mac (OSX) application- Developed internal standalone video/audio streaming library- Worked closely with designers and infrastructure application team- Conducted in field testing of applications and gathered user feedback

Moved Flycleaners from using a mobile web application to a native iOS application. Helped fix security issues with private API.

Led team that developed infrastructure and backend application for Listn. Worked closely with CEO to put together investor decks and attended and participated in all investor meetings. Also designed and implemented marketing strategy which led to a user acquisition cost of ~ $0.10 per user. - implemented rails application- infrastructure with rackspace- grew user base to approximately 400,000 usersListn raised a series A round and was ultimately acquired by SFX in 2014.