Software Engineer Data Scientist
Resume:
David P. Thayer
Bellevue WA 404-***-****
Senior Systems Architect
A proactive and highly qualified DevOps professional, senior systems architect, and cloud computing expert with a strong background in GIS supporting offsite field technicians. Adept at building API interfaces, data models, frameworks, and machine instances for advanced development and testing. Possesses the ability to quickly acquire expertise with new technologies. Vocational history contains many instances of overcoming challenges to learn and apply software technologies.
Technical Proficiencies
Advanced Tech Natural Language Processing, Genetic Algorithms, Statistical Learning, Big Data, Deep Learning, and Geo Statistical Inferencing.
Architecture Formal Verification, UML, Design Patterns, Refactoring, MSF Process Model, Team Foundation Server, Git, Subversion, FsCheck, NUnit, Test Driven Design, Agile, Team City, Jenkins, ESRI, ArcGis, and NuGet Package Manager.
Languages Python, C#, F#, ML, Haskell, VB, C++, TSQL, PL/SQL, UNIX Script, JavaScript, .Net Framework 1.0-4.7, MATLAB, CUDA GPU, Nest API, PowerShell, NPM, and DotNetApi.
Networks/SOA HTTP, IIS, CORBA, Windows Sockets, Jabber/XMPP, Web Services, SOAP, DNS, MSMQ, AWS, Google Co-Lab, Paper, and Azure.
Operating Systems Windows Server 2003-2016, UNIX, and Linux.
Web/Database ASP MVC 4/5, ASP.Net, Mobile SDK, HTML, DHTML, XML, XSLT, XSD, SQL Server 2005/2008/2012, SQL Analysis Services, SQL Reporting Services, System Integration Services, Oracle, Stored Procedures, Entity Framework, PostgreSQL, and MongoDB.
Professional Experience
Barclays Bank, Iris Consulting NJ 2022–2023
Consultant
Conducted financial and statistical analyses on the account portfolio with a focus on stress risks and variance forecasting. Utilized multiple large Mongo databases published by worldwide financial desks. Designed DevOps scripts to launch Git hub check-in builds and published results through the NuGet Package Manager to support development activities.
Software/Technologies: Net F#, Team City, Jenkins, PowerShell, DotNetApi, NPM, Nuget Package Manager, MongoDB, Git Hooks, SQL Server, AWS, and Postgres.
Microsoft Azure, Allyis Consulting 2022
Consultant
Designed and developed a Python telemetry framework to support the bricks system to configure and monitor Azure accounts and machine instances. Built a framework of data collectors that monitored hardware-level statistics and conveyed collected statistics. Prepared a variety of communication formats and channels to convey information to multiple recipients. Utilized PowerShell to manage project dependencies and control the Azure DevOps framework.
Software/Technologies: Python, PowerShell Scripting, Azure DevOps, and Kusto Query.
Wilbur Ellis AgVerdict 2014– 2022
Lead Developer (2016–2022)
Designed and produced an API framework in C# integrating business units into a presentation supporting the decision process. Integrated multiple factors, including farm management, inventory, pests, product demand prediction, and sales. Developed an in-memory graph C# database with millisecond latency to achieve name management in a hierarchy of blocks and subblocks, farms, fields, and growers with commodity varieties for the user interface of the application. Designed and published a large-scale Python framework to manage the PostGres database.
Principal Engineer (2014–2016)
Selected and hired five developers for the software team. Supervised the personnel and ensured engineering excellence. Utilized MATLAB to develop the original modeling concepts from which the team developed and supplied big data GIS analytics for agronomy data from the harvester/applicator/seeder level. Projected future activities, fertilizer/pesticide prescriptions, and conducted free-form analyses for defined data relationships. Presented two patent applications for innovative algorithms as a result of GIS analyses of raster data.
The patent applications included a method to accelerate IDW4 Interpolation by 4-16 times; simulating Kriging using the IDW algorithm; a single linkage density shifting algorithm for zone creation to support the creation of raster zones following laminar flow artifacts in the raster; and utilizing GPU computing to calculate raster expressions for prediction and multi raster analysis faster and more efficiently.
Software/Technologies: C#, C++, MATLAB, CUDA GPU programming, Git web hosting, Jira, PostgreSQL, Atlassian, deep learning architectures, Conda, PowerShell, and React.Js, AWS CI/CD, ESRI Mapping System. Microsoft Dynamics 365 .
Microsoft Bing Maps 2013–2014
Software Development Engineer Consultant
In a consultancy role, developed and provided a variety of development tools, including a library of automated map commands, a framework to support Map API, a structure to launch Windows store applications for testing, and 3D native map controls. Developed techniques for the application to incorporate ETW to collect statistics. Documented statistics on mean time to failure and built an aggregator to collect statistics on multiple runs of the test tool and display summary statistics to the dashboard. Designed a Python script to evaluate application map control techniques with scripted network and operational performance. Calculated network and rendering statistics for map control scenarios. Wrote and submitted status reports to management.
Software/Technologies: Visual Studio 2013 Beta, Windows 8.1, C++, C#, F#, TFS, Meta Template, WPF, WCF, ASP MVC, Python, Windows Store App, Fiddle API, Net Monitor API, Newt API, MS Build, ETW, and PowerShell.
Microsoft SQL Server Division 2012–2013
Software Development Engineer 2
Engaged in a Greenfield project to develop a natural language frontend to support SQL server databases. Contributed expertise to the design and launch of a system integrating any SQL Server database model via a search window so users could submit freeform English queries to a database and attain relevant answers.
Software/Technologies: C#, Visual Studio, PowerShell, Natural Language Processing, Excel Power Pak, Power Pivot, SQL Analysis Services, SQL Reporting Services, SharePoint Server.
Microsoft Research Labs Health Services Group 2008–2012
Senior Software Developer II
Created a simulation platform to create large functional models of Protein–Protein, Genome-Genome, Protein-Genome, and Genome-Protein interactions to evaluate proposed treatments for breast cancer at the Am-Gen Research Center. Significantly increased survival rates of women in the program undergoing treatment for breast cancer.
Software/Technologies: ML language, F#, Category Theory, Type Theory, Genetic Expression Programming, SPARQL, Ontology Nets, OWL/RDF.
AT&T Labs - GEOLink System 1996–2005
Senior Technical Staff Member
Designed various GIS-based systems for the AT&T field operations group. The work included revamping the call-before-you-dig system. Monitored switch alarms, distributing work incidents with accompanying maps, providing interactive street-level maps to technicians in the field, floor plans, equipment cabinet diagrams, and fiber junction splice information to field technicians.
Software/Technologies: C++, Unix, Autodesk Mapping Software, ESRI, ArcGis, HTML
Additional Roles: Computer Scientist at Idea Entity (2008), Developer at Power Forex Traders LLC (2008), Senior C# Software Engineer at GeoFields (2007), and Senior C# Software Engineer at Southern Bell (2006–2007).
Education
Associates of Arts
Liberal Arts (Honors Certificate)
Valencia College
Associates of Science
Information Technology (Summa cum Laude)
Orlando College
Professional Training
Coursera Data Scientist Certification Program (2014–2015)
Data Scientists Toolbox, Exploratory Data Analysis, Getting and Cleaning Data, Practical Machine Learning, R Programming, Regression Models, Reproducible Research, and Statistical Inference.
Brain Bench (2001–2006)
C++, C#, and Expert Rating C++.
Patents
Systems and Methods for Efficiently Generating a Geospatial Data Map for Use in Agricultural Operations.
Patent Issued Nov 7, 2017.
Patent issuer and number US US9813512B2 https://patents.google.com/patent/US9813512B2
Systems and Methods for Cloud-Based Agricultural Data Processing and Management
Patent Issued Apr 30, 2015.
Patent Issuer and number: us US20160308954A1 https://patents/google.com/patent/US20160308954
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