Naman Jain

I'm a mechanical engineer who likes understanding why physical systems behave the way they do, then using that understanding to make them work better. My earliest research centered on heat and fluid flow. It taught me to move back and forth between models and experiments. Since then, I've also worked on mechanical design and product-focused projects. More recently, my attention has turned to robots that can learn from their surroundings and make decisions.

I'm currently pursuing an M.S. in Mechanical Engineering at Georgia Tech. In the GT-AX Lab, my thesis asks whether a robot can learn a task once and carry that knowledge to a very different body. I'm exploring world models and fully onboard computing as ways to reduce retraining while respecting what each robot can physically sense and do.

I enjoy moving between hardware and software. Sometimes that means building a physical prototype. At other times it means writing an analysis pipeline or using language models to make technical information easier to work with. I'm still exploring where this broad background will take me. I'm drawn to teams that reward curiosity and careful engineering while giving people room to learn across disciplines.