A software engineer with a strong background in Pythonic software development, data modeling, service architecture, server infrastructure and test automation, seeking technological challenges requiring thoughtful innovation.
Contributed to the data science software toolset and infrastructure of the Center for Data Science & Public Policy, including a predictive modeling tool for early warning and resource prioritization problems, Triage, and a machine learning bias-auditing tool, Aequitas (Python/pandas/scikit-learn, PostgreSQL).
Authored general-purpose supporting tools, including a command-line interface library, argcmdr, and an I/O interfaces and optimization library, Ohio (Python).
Maintained and extended cloud-based infrastructure (AWS) and pipelines (Python/argcmdr, Ansible).
Contributed to the development of the solveforgood.org social good technology-volunteering platform (Python/Django, ).
Developed the lightweight application-review Web app, Appy, for crowdsourced review of applications to the Data Science for Social Good Fellowship (Python/Django).
Extended, scaled and refactored a monolith-designed platform (PHP, MongoDB) into a service-oriented architecture (Python/Django, PostgreSQL, Elasticsearch), providing search and analysis of consumer research data (SPSS).
Contributed nearly as much to the front-end software (AngularJS) – from Web browser compatibility to data visualization – as to data ETL and analysis (R, Python/pandas). Managed and developed AWS-based infrastructure (Chef, Terraform).
Championed code review, testing, reusability and technological roadmapping, as well as mutual transparency & accountability through the use of light-weight tools and processes.
Developed and scaled a real-time, social media-based message-targeting platform, which helped supporters of a cause to enlist their friends according to desirable attributes and interests, and which provided cause-based organizations novel insights about their supporters (Python/Django, MySQL, DynamoDB).
Prototyped a high-level platform for the analysis, engagement and growth of organizations' social media audiences (Python/Flask, Elasticsearch, MongoDB, Docker).
Filled various engineering roles, also including infrastructure management (AWS), DevOps (Fabric, Puppet), and cooperative project management.
Developed a medical and commercial Web platform, requiring a high level of internal and external integration, high availability and conformity, careful review and testing, and rapid bug address (Python/Django, MySQL).
Designed and developed a medical diagnostic rules engine, encoding doctors' decision-making process and CDC guidelines (Python).
Contributed to U.S. patents: System for Coordinating Healthcare Services, System and Method For Coordinating Administration of a Medical Test to a User, System and Method for Coordinating Payment for Healthcare Services, and System and Method for Reporting of Medical Advice (2013).
Participated in a cooperative, Agile team, producing weekly releases.
Led and co-led solutions to long-standing architectural issues, and championed code review and coding standards (reusability, legibility & DRY). Helped to improve process through automation (such as deployment via Fabric).
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Developed customer-facing Web platforms and internal software related to direct marketing, as well as a shared technological infrastructure (Python/Django, PostgreSQL).
Participated in a cooperative, Agile team, practicing code review and multi-tiered automated testing.
Designed and developed automated, functional test suites for Web platforms related to direct marketing (Python). Participated in the cooperative development of direct marketing platforms and their technological infrastructure (Python/Django).
Responsible for quality assurance, product release control, and helping to ensure live product uptime.
Responsible for LAMP Web servers (Debian running Apache, Embperl, MySQL, SSH, Samba, NFS & FTP) in support of the Web front-end and production back-end of an academic electronic-publishing and -storage service.
Investigated and extended infrastructure, making the department independent of the IT-support services upon which it had previously relied.