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Hi there 👋

I'm Rohit Vuppala and

  • 🎓 I'm a PhD student in Mechanical and Aerospace Engineering at the Oklahoma State University
  • 🔭 I'm currently working on developing machine learning based reduced order models and deep learning model for scientific problems
  • 🔍 I'm currently looking for roles in developing Research Software and Machine Learning/AI techinques for scientific applications.

Tech Stack

Programming languages

  • Python 🐍 (Tensorflow, PyTorch, NumPy, SciPy, Pandas, Jupyter, scikit-learn, ...),
  • Julia
  • C/C++ (OpenMP, MPI)
  • FORTRAN (OpenMP, MPI)
  • MATLAB

Computational

  • OpenFOAM
  • PALM,CM1
  • Nek5000
  • FENICS

HPC Exp

  • Slurm, PBS, bash scripting
  • Univ. - Henry2, Pete
  • DOE - Polaris, Theta, Chicoma
  • NCAR - Cheyenne, Casper
  • PSC - Bridges2

Misc

  • LaTeX 🐦, Overleaf 🍃, Markdown
  • Git, Slurm

Groups part of/active on

  • US-Research Software Engineers
  • ATPESC (2023)
  • American Physical Society
  • American Institute of Aeronautics and Astronautics

Rohit Vuppala's Projects

18s191 icon 18s191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:

bosss icon bosss

BoSSS is a flexible framework for the development, evaluation & application of numerical discretization schemes based on the Discontinuous Galerkin method

cirq icon cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

cm1ss icon cm1ss

Python script useful for CM1 soundings

deepxde icon deepxde

Deep learning library for solving differential equations and more

donew icon donew

Repository for storing quantum computing algorithms.

lstm_nudging icon lstm_nudging

This repository contains code for LSTM based nudging scheme for data assimilation of geophysical flows.

ml-course-notes icon ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

neuralpde.jl icon neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

ns3d icon ns3d

3D Navier Stokes Solver using 5th Order WENO and Upwind

pgml icon pgml

This repository contains codes related to our work on physics-guided machine learning.

pyda icon pyda

PyDA: A hands-on introduction to dynamical data assimilation with Python

pygems_1d icon pygems_1d

One-dimensional Python port of the General Mesh and Equations Solver (GEMS) for reacting flow simulations and reduced-order models.

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

random_code icon random_code

Random CFD/related codes I composed and used over the years

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