Tested software code and programs for the 2nd Generation Advanced Weather Interactive Processing System (AWIPS II).Led testing for Thin Client component to allow forecasters and surveyors to use AWIPS platform in the field via remote access.Led testing for Collaboration component to allow forecasters in multiple offices across the country to communicate via a instant messaging system, and also allow for workstation displays to be shared.Led testing for Radar component. Helped to implement the regional and national radar mosaics in AWIPS.Led preliminary testing on new builds to find bugs and errors before SWIT operations commence.Used Python, C Shell, Bash Shell scripting for testing.Used QF Test software to automate regression test cases.Used PostgreSQL to manage multiple database tables.Assisted with setup, cabling, and installation of servers and equipment at key customer sites.Led hardware replacement of workstations, monitors, and printers in the office laboratory.

Provide Project Manager with evaluation information on Test Team members when requested.Attend daily meetings with other Team Leads and Project Manager to provide updates on the Test Team and give a plan for the tasks the Test Team will undertake for the day.Attend daily meetings to assess and evaluate new code content planned for future build releases.Create plans and assign tasks for the team members.

Extend the current WRF development system into an operational system: Used Amazon Web Services (AWS) Elastic Compute Cloud (EC2) to helped develop an operational system using the WRF-ARW. Could run the model daily and store terabytes of data on AWS Simple Storage Service (S3) in the cloud. Develop and test new WRF configurations that build on current capabilities: Helped design and test the WRF-ARW to create a modeling system that downscaled down to 1km resolution across the continental US (CONUS) and across the globe. Prepare downscaled short-term weather forecasts using WRF: Helped design and test a WRF-ARW forecasting system using GFS data.Use historical weather data to reconstruct the weather conditions: Helped create a database of hourly 1km resolution WRF data covering CONUS and across the globe. Create Python code for product development and workflow efficiency: Used Python to help develop a database of METAR data from the Meteorological Assimilation Data Ingest System (MADIS) as well as a created a realtime system to pull in hourly METAR data from MADIS Used Python to calculate meteorological variables from GFS data. Used Python to perform data analysis and compare various meteorological datasets. Test and quality control operational products: Tested products for bugs and other issues before operational deployment

Research Assistant: Worked on research project for my master's thesis and helped with advisor's research.Teacher Assistant: Helped professors with grading and helped students with classwork and/or homework.