I founded and was CEO of Mohami.io, one of the leading add-on providers on the Atlassian Marketplace. Mohami has 17 add-ons across Bitbucket, Confluence, and Jira on both cloud and server architecture powering over 10,000 companies in over 100+ countries. Mohami was also the largest Bitbucket app provider on the Atlassian Marketplace. I lead the commercial, managerial and technical side of things, with some development when I got the chance.

Work as a Software Engineer in Flight Software on internal tools for build and release of vehicle software and configuration, automated data analysis (Python, Java, Javascript, AngularJS, Celery, Flask, Bamboo, OpenStack, JIRA, MATLAB) as well as embedded software (C++, Linux) for Falcon 9 rockets.

Built internal tools for build and release of vehicle software and configuration, as well as automated data analysis (Python, Java, Javascript, Celery, Flask, Bamboo, OpenStack, JIRA, MATLAB).

Researched, designed and implemented native execution of Android applications on the Windows Phone using dynamic cross-platform replay, in which the source application’s execution in the cloud is mimicked natively on the target platform (Aspect Oriented Programming, Java, Web Sockets, C#).

Advise and teach undergraduate students low level concepts in the field of Computer Systems (C, X86 assembly). Grade and evaluate student homework, projects, and tests.

Cofounded a startup called Konkourse, a Learning Management System with the goal of providing a better educational platform then current LMS tools like Blackboard, Scholar and Piazza. Built and led a team of three engineers through design, coding, deployment, and operations. Developed complete system architecture, task breakdown, and project schedule (Python, Django, Javascript, HTML, Bootstrap).

Designed and implemented graph projection and dashboard summary for Amazon's Operational Excellence Dashboard (Javascript, Backbone.js, flot.js). Modified service calls in Amazon core services to create new data endpoints (Java).

Worked with team of graduate students and faculty on the initial prototype and proposal of the EMBERS project, a project focused on forecasting significant societal events. Aggregated data from twitter and online news sources involving Latin America, for use in analysis and prediction. Tested and experimented with a variety of NLP libraries (Python, Data Mining, Natural language processing).

Designed and implemented a Disaster Recovery Readiness Dashboard to provide executive management at Freddie Mac a snapshot of Freddie Mac’s ability to recover in the event of a disaster or disruption (C#, AcessSQL).