Vikram Saraph

Hey, I’m Vikram! I am a software engineer at the Johns Hopkins Applied Physics Lab, with a strong background in mathematics and a focus on building practical and scalable software systems. I think of myself first and foremost as an engineer; I like to understand how things work and how to build things that work well.

I earned my PhD in Computer Science and Master in mathematics from Brown University, and my bachelor’s degrees in the same fields from the University of Notre Dame. Before joining JHU/APL, I worked at Meta as a research scientist, where I helped scale neural network training and inference for Facebook’s mobile app ads system.

While my zeal for mathematics has been a lifelong driving force, I’m most interested to how math can shape our understanding of real-world problems. That perspective originally led me into machine learning, and it continues to guide my work today as I build systems that bridge research and production.

I enjoy learning new things, whether that’s exploring a new technology stack, tackling an unfamiliar research area, or collaborating with people from different disciplines. You can find more about my professional background on my LinkedIn profile, and some of my earlier academic work on Google Scholar or DBLP.

In my free time, I like to hike, bike, travel, solve puzzles, play board games, and read. I listen to a lot of music, go to the occasional concert, and like transcribing music by ear. I also have aspirations of blogging.