I’m a computational physicist who loves turning complex math into fast, efficient code.
By day, I’m wrapping up my PhD at the University of Rhode Island, where I simulate black holes and run heavy calculations on supercomputers. By night, I tinker with deep learning and data science projects.
Basically, I like making computers solve hard physics problems—fast. 🚀
- Simulating the Universe: I build "surrogate models" (think: AI emulators for physics) to predict gravitational waves without waiting weeks for simulations to finish.
- High-Performance Computing: I specialize in parallel computing (MPI, Slurm) and GPU acceleration. If it runs slow, I fix it.
- Data Science: Recently, I've been working on Graph Neural Networks (GNNs) to detect financial fraud.
- Languages: Python (7+ years), C, Bash.
- The Heavy Lifters: PyTorch, NumPy, SciPy, Pandas.
- Dev Ops: Git, GitHub Actions (CI/CD), Apptainer/Docker.
- Physics: General Relativity, Black Hole Perturbation Theory.
I'm always down to talk about physics, coding, or the latest in tech.
- 🌐 Check out my work: riteshbachhar.com
- 📧 Shoot me an email: [email protected]
"I know a thing or two about the physics of black holes."


