Dheemanth R Joshi

Hi! I'm a Computer Engineering grad student at Texas A&M, and I spend most of my time thinking about how to make AI systems faster, smarter, more trustworthy, and more practical in the real world. I didn't start out knowing exactly what that meant — it took a lot of late nights, failed experiments, and genuinely humbling moments before I found the problems that really stuck with me.

Before Texas A&M, I was a pre-doctoral researcher at the Indian Institute of Science (IISc), where I got my first real taste of what it means to do research that matters. More than any result I published, what IISc gave me was a deeper instinct for asking the right questions — and the patience to sit with hard problems long enough to actually understand them. I did my undergrad in Electronics and Communication Engineering at PES University, which is where the hardware obsession started.

For the nerds: I work on integrating Gaussian Processes with LLMs to build uncertainty-aware AI that's actually scalable and deployable on resource-constrained HPC clusters — think single DGX setups. My work spans Agentic AI systems (LLM training & inference), computer architecture, and probabilistic ML, trying to make all three play nicely together.

Outside of research, you'll probably find me on the badminton or pickleball court. Always looking for new people to play with — let's rally!