Arjit Nayak. Arjit
Nayak.

I'm a Computer Science student at Penn State and a Schreyer Honors Scholar, with interests in artificial intelligence, machine learning, and software engineering. Most recently, I worked as an LLM & Software Engineering Intern at Springer Capital (Glynac.ai), where I built LangGraph agents that turned market signals into trading recommendations and helped surface sentiment trends across thousands of workplace data points. That internship changed how I think about data — it's less about the numbers themselves and more about what they're trying to tell you, and learning to hear that faster is usually what turns an interesting model into a useful one.

Outside of class, most of what I do runs through the people around me. I'm usually on a court somewhere — basketball, volleyball, and lately golf — and just as often I'm out with my friends, whether that's a pickup game, a trip, or just finding a reason to all be in the same place. That same pull toward people is why I love to teach: I'm a Programming TA at Penn State and started a Java initiative that's taught 100+ students. Sports, friendships, and teaching all come back to the same habit — break a hard problem into steps everyone can follow, and make sure no one's figuring it out alone.