Summary
Niranjan Bhatia is an ASIC DV Engineer and UC Berkeley undergraduate double-majoring in Computer Science and Physics, with eight years of hands-on experience spanning chip design, quantum software, and scientific research. Currently at AMD, he brings prior ASIC design and DFT experience from SpaceX and deep involvement in quantum benchmarking and algorithm development at SRI International. His research at Berkeley bridges integrated photonics, qubit device simulation, and ML-driven test frameworks—building optical interconnects, simulating spectral diffusion for T-center qubits, and training PyTorch models to validate fabricated chips. Comfortable moving between low-level silicon and high-level algorithms, he has implemented scalable quantum routines (HHL variants, TFIM optimizations) and practical engineering work like coplanar waveguide design and GUI development for lab lasers. Based in Berkeley, he pairs rigorous physics intuition with production-focused engineering, often applying cross-disciplinary methods (e.g., neural Bayesian inference for astrophysics) that reveal non-obvious links between ML, quantum hardware, and classical ASIC flows.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science & Physics, Bachelor's degree Computer Science & Physics at University of California, Berkeley
Monta Vista High School