Additive manufacturing has always fascinated me—not just as a production method, but as a dynamic intersection of physics, computation, and creativity. My journey began at Georgia Tech, where as a graduate teaching assistant in a dynamics and controls lab for aerospace engineering students, I fostered hands-on learning experiences and instructed students in the principles of classical control. During my college years, I also interned at Oerlikon, where I developed numerous MATLAB scripts that were implemented to identify geometric features within CAD files and automatically detect defects in optical density scans. That experience solidified my appreciation for the power of computational tools in understanding and improving AM processes.

After graduation, I joined Additive Industries as an Applications Engineer, working hands-on with LPBF systems to develop build strategies, optimize parameters, and overcome real-world process challenges. That experience deepened my respect for the complexity of AM—but it also exposed its greatest bottleneck: software. I constantly ran into rigid interfaces and manual workflows that slowed experimentation and disconnected me from the underlying physics of the process. I yearned for a way to translate engineering intuition directly into code—to see my ideas shape the part as it was being built.

That search led me to Dyndrite. It’s one of the few platforms that truly empowers engineers to model and implement their own algorithms, automate toolpath generation, and explore new process logic from the ground up. With Python scripting at its core, Dyndrite transforms additive manufacturing from a static workflow into a creative environment—one where we can experiment, iterate, and solve problems that have long constrained the industry.

I believe the future of additive lies at the intersection of deep process understanding and computational creativity. Dyndrite enables me to bridge those worlds—and that’s why I’m here. Outside of work, I enjoy going to the gym, playing guitar, and cooking—activities that let me unwind while still creating and experimenting in different ways.