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 donโ€™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 userโ€™s behavior. Learn more about reporting abuse.

Report abuse
prasadadhav/README.md

๐Ÿ‘‹ About Me

I'm Prasad Adhav, an AI Engineer & Research Software Developer with a Ph.D. from the University of Luxembourg and 7+ years of experience developing computational software, machine learning systems, and data-driven applications.

My expertise spans Artificial Intelligence, Large Language Models (LLMs), Machine Learning, Data Engineering, High-Performance Computing (HPC), and Scientific Software Development. I design and develop AI-powered applications, ML pipelines, and computational tools using Python, C++, R, SQL, PyTorch, TensorFlow, and modern AI frameworks.

I have experience building LLM-powered applications, agentic AI workflows, ETL pipelines, predictive models, computer vision systems, and production-oriented AI solutions. My background in HPC and numerical simulation enables me to solve complex engineering problems through scalable software architectures and data-driven approaches.

I am passionate about bridging AI, software engineering, and scientific innovation through collaborative projects that transform research concepts into practical solutions.

My academic background includes a Ph.D. in Computational Science from the University of Luxembourg, an Erasmus Mundus Master's degree in Computational Mechanics from Universitat Politรจcnica de Catalunya (Barcelona) and ร‰cole Centrale de Nantes (France), and a Bachelor's degree in Mechanical Engineering from the University of Pune.

Top Langs


๐Ÿ› ๏ธ Core Expertise

๐Ÿค– Artificial Intelligence & Machine Learning

  • Generative AI & LLMs: LLM Applications, AI Agents, Agentic Workflows, Prompt Engineering, LLM Evaluation, Responsible AI
  • Deep Learning: PyTorch TensorFlow Keras CNNs, YOLO, RNNs, Physics-Informed Neural Networks (PINNs)
  • Machine Learning: Scikit-learn Regression, Classification, Clustering, Time-Series Forecasting, Predictive Modelling
  • Graphical Models: Bayesian Networks, pgmpy, pyaGrUM, bnlearn, Netica, Bayes Server

๐Ÿ“Š Data Science, Analytics & Engineering

  • Data Processing: Python R NumPy Pandas SciPy ETL Pipelines, Data Analysis, Statistical Modelling
  • Data Visualization: Matplotlib, Seaborn Plotly, R Shiny, ParaView
  • Databases & Querying: SQL, Data Processing Pipelines, Structured & Semi-structured Data
  • Geospatial Analytics: QGIS ArcGIS, GeoPandas, Folium, Leaflet, Sentinel-2, Landsat

โš™๏ธ Software Engineering & Development

  • Programming Languages: Python C++ R Fortran MATLAB JavaScript
  • Backend & Application Development: APIs, Software Architecture, Object-Oriented Programming, Low-Code AI Applications, Web Applications
  • Development Tools: Git CMake VS Code Qt CI/CD Pipelines

๐Ÿš€ MLOps, Cloud & Deployment

  • Model Development & Deployment: MLflow Hugging Face Model Evaluation, Model Monitoring, Experiment Tracking
  • Containers & Orchestration: Docker Kubernetes
  • Cloud & Infrastructure: AWS Cloud Computing, Linux Servers

โšก High Performance Computing & Scientific Computing

  • HPC & Parallel Computing: OpenMPI, OpenMP, OpenACC, SLURM, NUMA, Cython, PyMP, Bash
  • Scientific Software: CFD, FEM, DEM, Digital Twins, Multiphysics Simulation, Numerical Modelling
  • Simulation Frameworks: OpenFOAM, XDEM, CalculiX, FEniCS, ANSYS, Abaqus
  • Quantum Computing: Qiskit, TensorFlow Quantum

๐Ÿ–ฅ๏ธ Systems, Operating Systems & Documentation

  • Operating Systems: Linux, Windows
  • Markup & Documentation: Markdown LaTeX HTML5 CSS3 YAML, XML

๐ŸŽจ Design, Visualization & Multimedia

  • Engineering Design: PTC Creo, SolidWorks, Siemens NX, CATIA V5
  • Meshing & Geometry: Hypermesh, cfMesh, Salome, Blender
  • Creative Tools: Inkscape Krita Canva GIMP
  • Video Tools: FFmpeg, Kdenlive, OBS Studio

๐Ÿ› ๏ธ Additional Tools

๐Ÿง  Computational Engineering

  • CFD, FEM, DEM, CAE tools: ANSYS, Abaqus, OpenFOAM, XDEM, CalculiX, FENiCS
  • CAD tools: PTC Creo 3.0, SolidWorks, Siemens NX, CATIA V5
  • Creative & Media: Blender Inkscape GIMP FFmpeg

๐Ÿ“š Communication & Outreach

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

๐ŸŒ Languages I Speak

๐Ÿ‡ฌ๐Ÿ‡ง English       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘  Fluent  
๐Ÿ‡ซ๐Ÿ‡ท French        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘  Conversant  
๐Ÿ‡ฑ๐Ÿ‡บ Luxembourgish โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘  Faux-dรฉbutant  
๐Ÿ‡ฎ๐Ÿ‡ณ Hindi         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘  Fluent  
๐Ÿ‡ฎ๐Ÿ‡ณ Marathi       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ  Native  

๐ŸŒ Connect with Me

LinkedIn YouTube Instagram ORCID

๐Ÿ“ฌ 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