Working with GAMA1 Technologies as a lifecycle quality assurance specialist supporting satellite applications and research for NOAA (NOAA/NESDIS).

Software Development Engineer as part of an Audible Returnship program. Developing in Java for AWS services.

Software engineer, developing complex Python modules to automatically process data from scientific instruments.

♦ Gathered requirements, wrote design plans, developed test code, and coordinated release.

♦ Developed customized Python modules integrated with the PostgreSQL database.

Group lead for software engineering and data management application projects.

♦ Provided leadership and project management for teams of 8 direct reports, including recruitment, hiring, training, performance evaluations, goal tracking, time management, and task tracking.

♦ Facilitated team meetings to discuss goals, tasks, and requirement needs for continuous improvement.

♦ Planned budget, tracked expenses, and monitored costs.

♦ Liaison to project teams, management, and stakeholders. Presented status updates, wrote proposals, worked with teams to develop project scope. Initiated and updated change management requests, problem tracking reports, data quality reports and resolutions.

♦ Projects included data integration applications, instrument technical coordination, and data quality web applications.

Software development lead for data management applications

♦ Served as development lead and systems engineer for the development, testing, revision control, release cycles, implementation, system administration, and operation of all data center software, including data collection, integration, conversion, and data product applications.

♦ Developed and maintained 20+ primary data products and 100+ individual data streams.

Technical coordinator

♦ Managed projects for instrument deployments, instrument upgrades, and collaborative research.

♦ Coordinated instrument calibration, data quality, maintenance, upgrades, troubleshooting, deployment, documentation, and development of scientific observation instruments.

♦ Coordinated with technical specialists, scientists, administration, and management in collaborative deployments.

♦ Monitored data quality and metrics, including developing tools for analysis