Experience

MacroFab

• United States
• Appliances, Electrical, and Electronics Manufacturing
• 100 - 200 Employee

• Software Engineer

  • Mar 2022 - Present



Accenture

• Ireland
• Business Consulting and Services
• 700 & Above Employee

• Software Engineer

  • Aug 2020 - Mar 2022

  - Headed design and development of software tools and automated processes for three distinct projects. - Advised on technical strategy and solution architecture. - Freed up team resources by automating workflow with Python, integrating several external services through APIs and Selenium. - Mentored three junior developers in software engineering principles, Python features and best practices, the pandas and requests libraries, and version control with Git. - Headed design and development of software tools and automated processes for three distinct projects. - Advised on technical strategy and solution architecture. - Freed up team resources by automating workflow with Python, integrating several external services through APIs and Selenium. - Mentored three junior developers in software engineering principles, Python features and best practices, the pandas and requests libraries, and version control with Git.



Pennsylvania State University-Penn State Berks

• United States
• Higher Education
• 1 - 100 Employee

• Nuclear Physics Research Assistant

  • 2015 - 2019

  - Led and instructed team in developing research software using Python and its data science libraries (matplotlib, NumPy, pandas, SciPy). - Developed and presented visualizations of experimental data and quantitative analyses of theoretical models. - Collaborated with nuclear and particle physicists from around the world. Background: The goal of the research was to unveil the 3-D structures of nucleons (i.e., protons and neutrons). To this end, we investigated and characterized "TMDs" (Transverse-Momentum-Dependent parton distribution functions), which describe how quarks and gluons within nucleons are distributed with respect to transverse momentum. Show less



PrecisionBI

• United States
• Hospitals and Health Care
• 1 - 100 Employee

• Software Engineer

  • 2014 - 2019

  - Developed Continuous Integration (CI) system with Git and Jenkins. - Established Continuous Delivery (CD) process and automated installer creation using C#, InstallShield, and Jenkins. - Managed DevOps processes, including build and release management. - Developed Continuous Integration (CI) system with Git and Jenkins. - Established Continuous Delivery (CD) process and automated installer creation using C#, InstallShield, and Jenkins. - Managed DevOps processes, including build and release management.



Jefferson Lab

• United States
• Research Services
• 500 - 600 Employee

• Computational Physics Intern

  • Jun 2016 - Aug 2016

  - Implemented various statistical algorithms – rejection sampling, least squares, Hybrid Monte Carlo method, etc. – using NumPy and SciPy. - Conducted computational experiments to compare different model-fitting algorithms and assess trustworthiness of industry standard. Background: Parton Distribution Functions (PDFs) describe how the momentum of a hadron is distributed between its constituent quarks and gluons. PDFs are determined by finding the parameters for a chosen model that best describe experimental data from scattering experiments. The industry standard method for fitting PDFs is to identify parameters using the least-squares method and to calculate uncertainties using the Hessian method. The purpose of this project was to compare the parameters and uncertainties reported by the industry standard method to those reported by various Monte Carlo algorithms. We were able to verify the reliability of the industry standard. Despite their simplicity and speed, the results of the least-squares and Hessian methods were comparable to those of the computationally-demanding Monte Carlo algorithms. This shows that the least-squares and Hessian methods can continue to be used in place of the significantly slower Monte Carlo methods. Show less