Summary
Nitin Gawande is a computer scientist with ~8 years of industry experience and a deep research background in heterogeneous high-performance computing, specializing in distributed and multi-GPU implementations of multiphysics and data-intensive codes. He has led performance analysis and bottleneck resolution for HPC and AI workloads at organizations including PNNL, Intel, and KLA, applying PGAS models like Global Arrays to scale complex simulations such as multi-phase flow and reactive transport. Comfortable at the intersection of algorithm design and low-level optimization, he focuses on squeezing performance from diverse ASICs and heterogeneous CPU/GPU clusters. Trained as a PhD environmental engineer, he brings an uncommon blend of domain science, civil engineering roots, and hands-on parallel systems expertise—plus a long-term curiosity about building infrastructure (and even chips) in extreme environments.
8 years of coding experience
25 years of employment as a software developer
Indian Institute of Technology Kanpur
Bachelor of Engineering (BE), Civil Engineering, Bachelor of Engineering (BE), Civil Engineering at Visvesvaraya National Institute of Technology
Doctor of Philosophy (PhD), Environmental Engineering Technology/Environmental Technology, Doctor of Philosophy (PhD), Environmental Engineering Technology/Environmental Technology at University of Central Florida
English, Hindi, Marathi