Shweta Salaria
Staff Research Scientist at IBM
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolShweta Salaria is a Staff Research Scientist with 13 years of experience at the intersection of machine learning, high-performance computing, and quantum computing, currently based in New York and employed at IBM. Her work blends deep performance characterization and workload analysis with production-ready benchmarking, modeling, and optimization across HPC, AI, and scientific applications. She has a strong academic foundation (PhD from Tokyo Institute of Technology) and spent several postdoctoral years turning low-level performance insights into scalable solutions for hybrid quantum-HPC workflows, including orchestration and enablement. Known for bridging research and industry, she uniquely combines hands-on systems profiling with workflow-level enablement to make cutting-edge quantum-HPC stacks practical for real workloads.
12 years of coding experience
10 years of employment as a software developer
Master of Computer Applications (Software Engineering), Master of Computer Applications (Software Engineering) at University School of Information Technology, Guru Gobind Singh Indraprastha UniversityDoctor of Philosophy - PhD, Mathematical and Computing Sciences, Doctor of Philosophy - PhD, Mathematical and Computing Sciences at Tokyo Institute of TechnologyB.Sc. (Hons) Computer Science, B.Sc. (Hons) Computer Science at University of Delhi
Github Skills (5)
benchmarking8
benchmark8
modular7
mxnet6
deep-learning6
Programming languages (2)
Github contributions (5)
shwetasalaria/workshops
Nov 2023 - Apr 2024
This is a repository for all workshop related materials.
Contributions:3 pushes, 1 branch in 5 months
shwetasalaria/benchmarker
Apr 2020 - Jun 2020
modular framework for [not only] deep learning performance benchmarking
Contributions:2 pushes, 5 branches in 1 month
modular-frameworkbenchmarkingcaffe2deep-learningbenchmark
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