Skip to content
View prasadadhav's full-sized avatar

Block or report prasadadhav

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
prasadadhav/README.md

👋 About Me

I'm Prasad Adhav, a Ph.D. from the University of Luxembourg with over 7 years of experience in numerical simulations (CFD, FEM, DEM), 4+ years in software development applied to industrial applications, 3+ years of experience in Machine Learning & Data Analysis. My expertise lies in designing and developing computational tools and integrating advanced models into both open-source and proprietary software environments using C++, Fortran, Python, R, and MATLAB. I’ve harnessed HPC systems extensively for large-scale multiphysics simulations and have led teams on several projects from ideation to implementation.

My academic background includes an Erasmus Mundus master's in Computational Mechanics from Universitat Politècnica de Catalunya (Barcelona) and École Centrale de Nantes (France), as well as a Bachelor's in Mechanical Engineering from the University of Pune. I'm passionate about bridging science, software, and creativity, always seeking to push the boundaries through collaborative, impactful projects. Additinally, I have done Master's course in Machine Learning & Neural Networks from MIT (completed online).

Top Langs


🛠️ Core Expertise

🧠 Computational Engineering

  • CFD, FEM, DEM, CAE tools: ANSYS, Abaqus, OpenFOAM, XDEM, CalculiX, FENiCS
  • CAD tools: PTC Creo 3.0, SolidWorks, Siemens NX, CATIA V5
  • Meshing tools: Hypermesh, cfMesh, Salome, Blender

🧬 Scientific Programming & Simulation

  • Languages: Python Anaconda C++ Fortran MATLAB R JavaScript
  • HPC & Parallelization: OpenMPI, OpenMP, OpenACC, NUMA, SLURM, Cython, PyMP, Bash Script
  • Dev tools: Git, CMake, Qt, VS Code, CI/CD pipelines, Docker, Kubernetes
  • Quantum Computing: QSKIT, TensorFlow Quantum
  • OS: Linux, Debian, Kubuntu, Fedora, Cent OS, Ubuntu, Windows 11

📊 Data Science & Machine Learning

  • Libraries: PyTorch TensorFlow Keras Scikit-learn Scikit-image
  • Analysis tools: NumPy Pandas SciPy, Matplotlib, Seaborn, Plotly, ParaView, R Shiny
  • Deployment: mlflow, Hugging Face
  • Graphical Models: pgmpy, pyaGrUM, bnlearn, Netica, Bayes Server

🧭 Geospatial & Visualization

  • GIS: QGIS, ArcGIS, Leaflet, GeoPandas, Folium
  • Illustration & Visuals: Inkscape, Krita, Blender, Canva, Gimp Gnu Image Manipulation Program
  • Mark-up & Docs: HTML5, CSS3, LaTeX, Markdown, XML, YAML
  • Video tools: ffmpeg, Kdenlive, OBS, Canva

📚 Communication & Outreach

  • Teaching and mentoring
  • Scientific and technical writing
  • Cross-functional collaboration with internal and external stakeholders Trello

🌍 Languages I Speak

🇬🇧 English       ██████████████████░░  Fluent  
🇫🇷 French        █████████████░░░░░░░  Conversant  
🇱🇺 Luxembourgish ████████░░░░░░░░░░░░  Faux-débutant  
🇮🇳 Hindi         ██████████████████░░  Fluent  
🇮🇳 Marathi       ████████████████████  Native  

🌐 Connect with Me

LinkedIn YouTube Instagram ORCID

📬 Feel free to reach out at: prasada001.pa@gmail.com

Isometric Full-Year GitHub Activity

Pinned Loading

  1. python-school python-school Public

    Forked from ULHPC/python-school

    Jupyter Notebook 1

  2. xml_Reader xml_Reader Public

    This project is to test out xml reader using c++ and the BOOST library

    C++ 1

  3. Computer-Vision-Classify-Dogs Computer-Vision-Classify-Dogs Public

    A CNN trained on a small dataset of dog images to classify which breed it belongs to.

    Jupyter Notebook

  4. Computer-Vision-Coral_detect Computer-Vision-Coral_detect Public

  5. bn_to_walk_or_not bn_to_walk_or_not Public archive

    In this repo, I am experiemnting with Bayesian netwroks.

    Jupyter Notebook

  6. experiments_with_leaflet_interactive_webmaps experiments_with_leaflet_interactive_webmaps Public

    In this repo I experiment with the Leaflet library to create interactive maps.

    Jupyter Notebook