Summary
Rohit Ganti is a Strategic Project Lead and former Ph.D. physics researcher with eight years of experience building quantum algorithms, hybrid quantum-classical systems, and generative AI pipelines across academia, national labs, and industry. He has hands-on experience implementing VQE workflows, circuit tensor networks for 2D quantum systems, and qubit-reduction techniques for lattice gauge theories, alongside designing scalable distributed quantum algorithms. At NVIDIA he led LLM fine-tuning and multi-agent policy testing for programmatic policy generation, and at HPE prototyped diffusion-model LLM adapters for token-level alignment. Rohit blends deep physics intuition with practical software engineering—shipping multi-cloud quantum lab notebooks, quantum chemistry modules, and adaptive circuit distribution prototypes. Based in Fremont, CA, he’s passionate about scaling quantum computing for high-energy physics and enjoys keeping physics as a personal passion while treating machine learning like a hobby. A pragmatic researcher-turned-engineer, he often bridges cutting-edge research and production-ready systems.
7 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Mission San Jose High School
Master of Science - MS, Physics, Master of Science - MS, Physics at Carnegie Mellon University
University of California, Irvine