Employment History

Broadway Technology

Deployment Engineering Senior II Developer (August 2020 - present)

Deployment Engineering Senior Consultant (August 2018 - August 2020)

Served as tech lead for the Deployment Engineering group which is responsible for making installation of Broadway’s trading software fast, easily repeatable, and observable. Worked with customers to integrate our software stack into a variety of different self-hosted and cloud based environments. Led the adoption of Ansible as the company standard for automation and developed new environment and release management processes that enabled more efficient and production-like testing.

tech stack: Python, Colocated Infrastructure, Bash, PowerShell, general networking, profiling, virtualization

IBM Watson and Cloud Platform

Advisory Software Engineer (October 2015 - August 2018)
Tech lead for Client Experience Center visualization team with duties covering development, server infrastructure management, software tech stack definition, and the release and operations strategy. Also served as lead developer on custom machine learning implementations including Bayesian classifier with adaboost weighting and image distance and clustering calculations for MET art collection. tech stack: Bash, C++, Python, Private and Cloud Infrastructure, General Linux, CI and Ops Tools like Terraform, Ansible, and Docker

Staff Software Engineer (August 2014 - October 2015)
Served as tech lead of Watson Prototypes. Led development, tech stack definition, and the release/operations strategy for client web application prototypes utilizing IBM Watson APIs. tech stack: Javascript, Python, Bash


Senior Software Engineer (June 2013 – November 2013)
Primary tools engineer on FarmVille. Major contributor to the Content Management System used by the entire studio to release new items into the game. tech stack: Javascript, Python, PHP, Bash, Private Infrastructure

Software Engineer (June 2011 – June 2013)

Feature developer on FarmVille. Primary developer of major features including Expansion Farms, the Facebook Request 2.0 implementation, and the DinoLab - my hackathon project turned profitable and often reused staple feature. tech stack: Flash, Python, PHP, Bash, AWS

Projects A search and recommendation SaaS that learns user preferences and offers improved product suggestions over time, service is live with two clients. - - tech stack: NodeJS, Python, LightFM, GCP

Bitkin Live: Retro platformer A.I. sandbox - - tech stack: Java, Python, OpenGL ES, GCP

Agonoid II: A 3D space sim with A.I. battle mode - - tech stack: WebGL


University of Texas at Austin (May 2011)

B.S. in Mathematics, Area: Scientific Computation and B. A. in English