MTS Systems Corporation is a leading global supplier of test, simulation, and measurement systems in the industries of vehicles, aircraft, biomedical devices, and civil structures. Throughout my time as a Software Engineering intern here, I gained exposure to various leaders of the industry that provided me an abundance of expertise and experience in the software engineering field. I primarily worked with the RPC Team where I was able to contribute to the major development of their modern RPC Connect application. My first project involved writing automation scripts with C# and Iron Python for benchmark testing to measure timing performances. These statistical results would be relayed to the marketing team at MTS, and the data was sourced from Jaguar Land Rover and General Motors. Working with another intern over the summer, I learned the critical software development practice of pair programming. Learning how to remotely collaborate honed my communication skills and vastly increased our code quality. My next significant project was converting over 1200 icons throughout the Connect application from PNG files to SVGs. This was implemented through WPF and XAML modifications to their references in the codebase, and a third-party bash script. We were able to resolve all scalability and resolution issues with the application icons for our clients. My last project involved performing critical QA and regression testing on the application's plotting features before initial release to clients. Some other software tools and technologies I utilized at MTS were: Azure DevOps, Git version control, and Visual Studio.
Encephalo Investments is a long and short investment firm with divisions in equity research and quantitative analysis. When the firm initially started up, I joined as a Quantitative Analysis intern which developed my programming competency and financial intuition. My first project involved developing screening software built with Python, ReactJS, and Firebase which expedited research processes through quantitative insights. I additionally worked on a portfolio performance indicator tool which was an auxiliary to manual portfolio management that used Monte Carlo simulations to judge the future performance of different equities. This was also built with Python and the Flask framework, and we thoroughly leaned on Git version control for collaboration efficiency. I transitioned into a project management role as our company expanded and became the Lead Software Development Intern in May 2020. I was given the task of leading our weekly meetings as well as managing a small group of interns. I facilitated the software development team to ensure the execution of Agile and Scrum methodologies, and I assigned out appropriate tasks from our project backlog to maximize efficiency. Furthermore, I developed and conducted interview and hiring processes to source top candidates for our software development and financial engineering teams.