Hariprashad Ravikumar
Computational physicist building GPU-accelerated ML and simulation tools.
I turn large-scale physics simulations into software that engineers actually use. At Western Digital I derived closed-form models for heat-assisted magnetic recording from first principles and shipped HAMR DCSNR NIMBLE app, the simulator that the team now runs across sites in the US and Japan.
My PhD at New Mexico State University applies GPU-accelerated HPC and machine learning to lattice QCD with 30,000+ observables, CUDA C++ pipelines, and symbolic regression that recovers analytical structure from noisy Monte Carlo data using HPC (High Performance Computing).

Western Digital · San Jose, CA · Summer 2026
I built NIMBLE, a HAMR simulator now used by 40+ engineers across WD's US and Japan sites.
Over summer 2026 I derived closed-form analytical models for grain magnetization dynamics in Heat-Assisted Magnetic Recording from first principles, predicting adjacent-track erasure (ATI & xTI) without costly hardware experiments.
I shipped the physics as NIMBLE, a production Dash/Plotly simulation platform packaged as a modular Python library, deployed on Kubernetes with Jenkins CI/CD and adopted by sputtering and media engineering teams.
40+
engineers
2
R&D projects shipped
1
hackathon award
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Intern – Media Test Engineering (HAMR Modeling & Simulation) @ Western Digital, San Jose, CA, USA
Production simulation platform for heat-assisted magnetic recording, used by 40+ engineers across WD's US and Japan sites.

Lattice QCD TMD Pipeline
GPU-accelerated ML pipeline extracting analytical structure from 30,000+ lattice QCD observables.
AI-DataScience-Lab
Full-stack forecasting app: CSV upload, pandas cleaning, scikit-learn regression, GPT-3.5 summaries.
Experience timeline
Tech stack
Languages
ML & Scientific
HPC & Parallel
Web & Visualization
DevOps
Peer-reviewed · Physical Review D
Interpolating conformal algebra in (1+1) dimensions between the instant form and the light-front form of relativistic dynamics.
Ji, C.-R. & Ravikumar, H. (2026). | Physical Review D 113, 096018. American Physical Society.
Currently interviewing for full-time roles.
Graduating December 2026. Looking for Research Scientist, Applied/ML Scientist, HPC & Scientific Computing Engineer, or Software Engineer roles in the SF Bay Area. Authorized to work in the U.S. under STEM OPT; open to H-1B sponsorship.


