Matthew S.

Matthew S.

API backend developer with a diverse skillset

Texas , United States

Experience: 6 Years

Matthew

Texas , United States

API backend developer with a diverse skillset

120000 USD / Year

  • Immediate: Available

6 Years

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About Me

Austin, TX based backend Python web developer. Technologies I commonly use include Python, Django, Celery, Ansible, AWS, and Linux. I enjoy learning as much as possible about technology. In my spare time, I work on projects using VueJS, Go, Docker...

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Portfolio Projects

API developer on large loyalty rewards program

Description

Contributed Python and JavaScript development for DesignSafe, a web application built for natural hazard researchers to interact with high-performance computers. ● Refactored backend Django routes to be more RESTful and increased test coverage. ● Added features to AngularJS app while refactoring to reduce lines of code. ● Wrote automated scripts to detect and report broken links in applications using Nightwatch.js.

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Description

Contributed Python and JavaScript development for DesignSafe, a web application built for natural hazard researchers to interact with high-performance computers. ● Refactored backend Django routes to be more RESTful and increased test coverage. ● Added features to AngularJS app while refactoring to reduce lines of code. ● Wrote automated scripts to detect and report broken links in applications using Nightwatch.js.

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Description

Validated daily, monthly, and quarterly profit and loss statements for a quantitative hedge fund with billion+ dollars in assets under management (AUM). ● Validated daily firm equity and futures/commodity positions with brokers and business partners before the start of market trading in multiple global regions. ● Managed technical operations using cron jobs and Perl/Python scripting. Responsible for synchronizing jobs, improving time efficiency, catching errors and slowdowns. ● Introduced git workflow to analyst team to track previously non-version controlled scripts. ● Wrote ad-hoc scripts using Python and SQL to respond to support portfolio managers.

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