I'm a bioinformatics scientist with a Masters in the subject and about 2.5 years of industry experience. During this time, I've developed strong Python proficiency, and have become familiar with the use of commonly-used bioinformatics tools available in Python. To support these skills, I've also strengthened my Unix and bash scripting. My most valuable trait as a software developer is my experience working with complex development environments. For example, I contributed to development of a Docker-Compose service for a Flask app, which could be run locally, or interface with a high performance computing cluster. During that time, I've demonstrated creativity in bypassing apparent limitations baked into existing Python libraries. For instance, I wanted to visualize bioinformatics data with Streamlit, a Python library that makes for easy implementation of dynamic data filtering tools for users. However, web applications served by Flask generally do not work with Streamlit, because the two libraries rely on different kinds of networking frameworks which themselves are not compatible. After consulting forums and finding no solutions to the problem, I devised my own workaround: allowing a new container in our Docker-Compose service be responsible for serving the Streamlit app, and presenting the illusion that it was all one application by embedding the Streamlit app as an iframe into the browser streaming the Flask app.