Senior Software Engineer

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Bruce Whistler

Senior Software Engineer

*****.*.********@*****.***

Cell: 240-***-****

Uber dependable object-oriented (OOPS) developer interested in Software Engineering position. Detail- oriented individual having experience in implementing knowledge of different programming languages. Looking to be engaged with results -driven software design and bringing critical analytical skills into practice. Maintains and manages legacy/ new scientific satellite systems and databases in different environments. Acquires proven educational and on the job use of modern programming skills as well as older programming skills. Provides prompt delivery of new Geostationary Operational Environmental Satellite R-series (GOES-R) satellite Level 2 (L2) Enterprise scientific algorithms into software development/operational systems while providing intermediate and end products to the research community, National Weather Service (NWS), and other users. Skills:

C/C++ Python Bashrc Monte Carlo GIT SAS

Fortran 90/95 Java XML Visual Studio SCCS MS Outlook HTML5/CSS3/Web Dev SQL MATLAB Eclipse RCS MS Office JavaScript Perl R NetBeans CVS OOPS

Operating Systems:

UNIX, LINUX (RedHat, Ubuntu), Windows

Work experience:

Senior Software Engineering, KBR Inc, 2020-March 2024

(GEO) NOAA NESDIS/OSPO/SPSD College Park, Maryland 20770

• Provides software support for GOES-R Product Readiness and Operations (PRO) ground system development/operational environments.

• Work includes the development and integration of GOES-R L2 product generation and product distribution configurations with GOES-R satellite L2 scientific algorithms using languages such as C/C++, Python, Java, Fortran, Perl.

• Uses Java based program to analyze and verify imagery of GOES-R satellite L2 algorithm end products with their metadata summed for each algorithm block used.

• Implements and develops metadata code for Enterprise Aerosol Optical Depth algorithm.

• Uses web-based page, Ganglia, where L2 processing was monitored for various metrics (ie metric as “free memory”) by clicking on any server to view over a period of time to determine memory leaks. Algorithms run on various product generation processors

• Work experience with Hierarchical Data Format (HDF) and Network Common Data Form (NetCDF) file 5/22/23 2

• Began the migration process to GeoCloud for L1 and L2 products. Graduate Studies/Family Care, 2009-2019

• Received several degrees/certificates while caring for gravely ill parent. Programmer Analyst, Science Technology Corporation, 1996-2008, Systems Engineering and Security, Inc, 1995-1996, SM System and Research Corporation, 1991-1994, at NOAA NESDIS

• Programmer Soundings area Tech Lead

• Developed 24X7 NOAA mission critical satellite soundings system monitoring tools for orbital processing information using various programming languages such as C++,Java.

• Unit tested software fixes with Perl scripts and released upgrades in test satellite systems and implemented into operational development

• Determined root causes of failures and delivered real-time fixes for operational satellite soundings systems to maintain continuity of products generated

• Involved the transfer and implementation of FORTRAN scientific algorithmic code in the Soundings area from IBM Mainframe to a LINUX environment, improving the latency times of jobs run.

Computer Programmer, Applied Research Corporation, 1990-1991, at NOAA NESDIS

• Developed FORTRAN programs at GSFC for analyzing input satellite data for use in radiative transfer modelling

Graduate Assistant, Department of Meteorology, University of Maryland College Park, Md,1988-1990

• Utilized Monte Carlo simulator to better visualize potential outcomes allowing management to develop risk mitigation plans for a number of potential decisions. Education:

M.S. Computer Science, Johns Hopkins University, Whiting School of Engineering M.S. Meteorology, University of Maryland College Park B.S. Mathematics, University of Maryland College Park Courses:

Hadoop with Big Data

C++ Object Oriented Programming

Mathematics of Finance

Advanced Java

Foundations of Algorithms

Foundations of Software Engineering

Micrometeorology

Satellite Surface Climatology

Synoptic Meteorology I

Synoptic Meteorology II

NASA Cybersecurity

NOAA Cybersecurity

Analyzing Data Using Python: Importing, Exporting and Analyzing Data with Pandas Python Statistical Plots: Visualize and Analyzing Data Using Seaborn Python Numpy

5/22/23 2

MATLAB-Numerical root finding methods

Implementations, efficiencies, advantages and limitations a) Bisection method

b) Secant method

c) Newton’s Method

MATLAB-Principal Component Analysis

Awards:

ESPC Outstanding Performance Award, 2006

CSDP Outstanding Performance Awrad, 2003

CSDP Outstanding Performance Award, 2002

CSDP Outstanding Performance Award, 1999

Certifications:

Completed online certification for Cloud Computing and Data Technologies and Services, https://www.alison.com 2024

Completed online certification for Artificial Intelligence and Machine Learning in Business, https://www.alison.com 2024

Completed online certification for Scrum and Agile Immersion Training, https://www.alison.com 2024 Completed online certification for Git Fundamentals, https://www.alison.com 2024 Completed W3 Schools, https://www.w3schools.com online certification Python Course, 2020 Computer Programming Certificate,Montgomery College, Rockville,MD 2015 Memberships:

Society of Engineers, Johns Hopkins University

Pi Mu Epsilon (National Honors Mathematical Society), University of Maryland Phi Eta Sigma (Freshman Honor Society), University of Maryland Phi Theta Kappa Honor Society, Montgomery College

Publications:

Whistler, B.T. Masters Thesis, University of Maryland, College Park: Specification of Monthly Mean Anomalies of Surface Precipitation, Temperature, Dewpoint, and Wind Speed in the Contiguous United States from Simultaneous 700 mb Monthly Mean Height Anomalies over the Western Hemisphere.

Whistler, B.T. and Klein, W. H., Specifying Monthly Mean Temperature, Dewpoint, Wind Speed, and Precipitation Frequency for Fire-Weather Outlooks. In Proceedings of the Thirteenth Annual Climate Diagnostics Workshop, Cambridge, Massachusetts, NOAA, Washington, DC, pp. 204-209.

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