Pratham Grover
Pratham Grover is the founder of TensorTonic and writes its guides on ML coding practice, CUDA kernels, research paper implementations and ML interviews.
Who is Pratham Grover?
Pratham Grover has led TensorTonic full time since July 2026. Before starting TensorTonic, he worked as a researcher and software developer at Microsoft Research. He did research internships at industry labs, including Samsung R&D and the Siemens AI lab, and at academic labs at UC Berkeley, Virginia Tech and the University of Technology Sydney.
What has Pratham published and built?
He has published research at conferences and workshops including ICLR, NeurIPS and The Web Conference (WWW), and in the journal Algorithms. His work focuses on autoresearch, scaling RL, inference engineering and GPU programming.
Pratham also works on open source, including paper2code (1.5k GitHub stars), a project for turning research papers into working code. He has won national hackathons and attended the Oxford Machine Learning Summer School.
What does Pratham write about?
Pratham writes the TensorTonic guides on interview prep, learning paths, GPU programming, research papers and choosing a platform. Every guide is listed on the TensorTonic guides page, and the guides below are a good place to start.
- How to prepare for an ML engineer interview
- ML coding interview questions: 20 to implement
- A machine learning roadmap for 2026, from Python to papers
- How to learn CUDA: a path from C to fused kernels
- How to learn Triton, from your first kernel to FlashAttention
- How to read an ML paper and implement it
- 15 ML papers worth implementing from scratch, and in what order
- Best ML practice platforms in 2026