An actual product, technical hiking pants aimed at women sized 14-24; a desperately underserved market. Hella proud - launched on Kickstarter at 9am, the project funded completely by noon and raised 600% of its goals. I wrote content, did product development, created data analytics, ran some gophering, applied some sales engineering; the startup life. Data engineering was with Airtable and Python against a NoSQL backend.

As a graduate student, I am using Python, SciPy (curve_fit), digital archeology, and possibly some TensorFlow models to work with the surviving data sets from the time to illuminate a little more about the great nuclear mystery of our time.In 1979, a VELA early warning satellite recorded a signature in the sub-arctic Indian Ocean which resembled that of an above-ground nuclear weapons test, but none of the acknowledged nuclear states took responsibility for the detonation. Much has changed in the nuclear landscape since, with the number of weapons states up to 9 from 5 and the number of warheads down to 25% of the 1980 numbers, but although there are strong suspects, the country/organization that tested remains unknown.

As part of an NNSA Predictive Science Academic Alliance Program Center (PSAAP III), working to advance predictive science via exascale computing by the characterization of a mock high explosive under low to intermediate strain rates (100 meters per second down to 1 meter per second), as well as exploration of processing conditions and particulate size on properties. Data engineering and analysis was ETL from proprietary sources to MySQL, processed in Python for matplotlib, seaborn, and Tableau visualizations.

In this role, I developed new deterministic machine-learning model for identifying nuclear signatures and possible construction details of improvised nuclear devices. Also, wrote several unclassified machine-learning models in Python (scikit-learn, PyTorch, and Keras) and then run on and optimized for high performance supercomputers up to 125 petaflops.

While at Cal studying the Nuclear Engineering undergraduate curriculum, I have learned many things; why the sky is blue, how the streets of San Francisco got their names, the shell model of nuclear structure, the design of nuclear reactors from 10 megawatts to 3000 megawatts thermal, and how Chernobyl exploded to three significant digits.Other studies include risk and decision analysis, how neutron embrittlement defects form in materials exposed to high radiation fields, the calculation of the double differential cross section of nuclear reactions, machine learning applied to nuclear data sets, Python, SciPy, pandas, and varied data sources.

The Hundred-Terawatt Thomson scattering experiment sought to use the high-energy electron beam output from a novel laser-plasma accelerator as a photon source for the detection of special nuclear material. My work included data processing using Python, SciPy, NumPy, and ffmpeg which created diagrams and movies of experimental results from a novel laser-plasma accelerator. I also worked on beam line operations, and led development and construction of a single-shot autocorrelator laser pulse timing diagnostic which brought our pulse length down to 42 femtoseconds.

This project included machine learning in Python (scikit-learn), along with Google Cloud Platform and BigTable parallel computing in an attempt to recover ten thousand images of 100 femtosecond laser interferometer datasets from an experimental run at DESY in Hamburg, Germany.

Developed a snapshot plasma diagnostics visualization package (Thomson Viz) using Python, OMFIT, NumPy, SciPy, and matplotlib to enable fast comparison and understanding of plasma temperature, density, and pressures as related to any other time-based data captured during an NSTX-U plasma shot.

Refactored a borrower notification system into Windows Communication Framework and Entity Framework using the very finest of test-driven development techniques and digital archeology.

Reworking and refactoring a full regulatory compliant ECOMM backbone application deployment system to C# ASP.NET application to use Entity Framework 4.0 and MVC patterns. Also developed acceptance tests and micro tests for the application framework using the nUnit, WatiN, and SpecFlow toolsets.

Using the Microsoft .NET Framework against SQL Server, Oracle, MySQL, and PostgreSQL, supported and implemented new trading and energy deployment optimization programs and processes for the Resource Portfolio Optimization group.

Hackerspaces are community technology labs where interested people can come together to learn and work with the latest, greatest, or latest and greatest techniques and tools. I was the founding president of the hackerspace in Charlotte, North Carolina. As the founder, I wrote the bylaws and worked with landlords and insurance providers to get the doors open and lights on.After the grand opening, I helped the hackerspace accomplish some group projects and goals. Some of the accomplishments were winning the Great Global Hackerspace Challenge, a worldwide innovation competition, Dry Ice Jenga tournaments as a fun inclusive method of doing science outreach, and achieving a Guinness World Record for the World's Largest QR Code.

Developed and maintained several program improvements to internal Customer Status Reporting systems in use in eleven Lockbox Service Centers using ASP.NET 3.5, Ajax Technologies, LINQ, Oracle 11i, and SQL Server Integration Services (SSIS)Overhauled and upgraded existing Lockbox employee bonus tracking application from Access 2000 to ASP.NET 3.5 with SSIS and SQL Server backendsAs part of the Wachovia/Wells Fargo merger, used Visual Studio 2008, .Net Framework 3.5, SQL Server, and Oracle 11i to redesign and redevelop existing Lockbox Electronic Window application, allowing troublefree, seamless ETL of over two billion dollars of remittance collected at eleven Lockbox Service Centers into customer bank accountsTroubleshot and designed prototype interface in ASP.NET 3.5 to address possible merger difficulties resulting from existing multiple customer account options.

Developed, maintained, and integrated custom development work to add functionality to nMarket applications. Worked with everything from settlement and billing, to power plant scheduling applications, to real-time monitoring of wind turbine generation economics in the PJM, MISO, NEPOOL, ERCOT, and CAISO power markets.