The person
behind the projects.

I’m Movses Movsesyan, a software engineer based in the Sacramento area. You might also know me as Moses or Moso. I’m Armenian, I speak Armenian and English, and a lot of the things I build connect back to language, music, and the community I’m part of.

I earned my Bachelor of Science in Computer Science from California State University, Sacramento in May 2026. My work has taken me through automation, backend development, Linux deployments, and applied machine learning. I enjoy understanding how the whole system fits together.

A lot of my projects start with something I actually need: a better way to organize songs, a test process that takes too long, or a way to make Armenian audio more accessible. From there, I usually want to understand the details well enough to build it myself.

One of the clearest examples is my capstone for ATM Electric. I was responsible for both the backend and cloud engineering. I had to choose the framework, design the data and permissions, enforce access at the endpoints, and get the application deployed.

At FTB, I saw another side of the same idea. Building an automation framework was useful because it changed the release testing process. The code mattered, and so did the coverage, the troubleshooting, and explaining the results to the team.

Those experiences are why I’m interested in the work around a model or feature as much as the feature itself. How is it deployed? How does someone use it? What happens when it fails? Can someone else understand how it works?

I have served as Head Technology and Media Coordinator at Christ Life Armenian Pentecostal Church since March 2020. I’m involved around three times a week, working with sound, livestreams, lyrics, cameras, and the equipment that keeps everything connected.

Faith and church are part of my everyday life. On the technical side, church is also where a lot of practical problem-solving happens. A service has a schedule, people need to hear clearly, and the technology has to support what is happening in the room.

I work with live audio systems such as the Behringer X32 and S32, and I also use tools such as Cubase. The problems vary, but I like being able to help with the whole setup, from an audio route to a livestream graphic.

I’m especially interested in natural language processing, speech recognition, and computer vision. Armenian ASR is a major focus because it combines something technically challenging with a language and setting I know well.

I have accepted an offer to Georgia Tech’s Online Master of Science in Computer Science program for Spring 2027. For now, I’m continuing to build, experiment, and work through the practical questions that come up in my projects.

I like getting into the details, whether that means understanding an attention mechanism, tuning local inference, or tracing a problem through a deployment. I’m usually happiest when I can turn that understanding into something that works.