Johnny Appleseed

I am a motivated and experienced software engineer with a strong background in C# and .NET development. Over the past four years, I have specialized in designing and developing software solutions across various domains, including image recognition, natural language processing, speech-to-text, and video pattern recognition.

In my role at Vela, I have developed and maintained flagship software solutions using ASP.NET within an agile team. I successfully engineered a WPF multiviewer application that significantly reduced video transport latency by 80-90% for real-time streaming. Additionally, I have contributed to projects involving AI/ML models, integrating pre-trained models to enhance functionality.

I hold a Bachelor of Science in Computer Science from the University of South Florida, where I graduated in December 2020. My technical expertise spans programming languages such as C#, Java, Python, and SQL, as well as frameworks like WPF, Avalonia, and ASP.NET MVC. I am proficient in development tools including Visual Studio, Git, and Anaconda, and I am comfortable working with Windows, macOS, and Linux operating systems.