Prathamesh Deshmukh
Physics PhD Scholar & Scientific Programmer
Doctoral researcher specializing in Condensed Matter Physics. I build robust Python solutions for lab automation, instrument control, and advanced data analysis.
Contact: prathameshnium[at]duck[.]com
Academic & Social Links
🚀 Featured Projects
PICA: Python-based Instrument Control & Automation
My flagship project, PICA, is a modular software suite for automating lab instruments. It features a central GUI for materials science research. Note: The repository is temporarily private due to academic publication policies.
View Citation
@software{Deshmukh_PICA_2023,
author = {Deshmukh, Prathamesh Keshao and Mukherjee, Sudip},
title = {{PICA: Python-based Instrument Control and Automation Software Suite}},
month = sep,
year = {2023},
publisher = {GitHub},
version = {14.1.0},
url = {https://github.com/prathameshnium/PICA-Python-Instrument-Control-and-Automation/tree/14.1.0}
}
Kusanagi-AI: Free & Open-Source Local AI Toolkit
A free, open-source, privacy-focused AI toolkit for researchers. Runs 100% offline, leveraging Ollama for RAG with PDF documents, academic review generation, and more.
TupperTransformer: Interactive Tupper's Formula Demo
Based on my 2018 preprint, this is an interactive demo of Tupper's self-referential formula. Draw pixels, transform images, and create animations by manipulating the k-value.
View Citation
@article{Deshmukh2018,
author = "P Deshmukh",
title = "{Transformation of the pixels in tupper's self-referential formula}",
year = "2018",
month = "6",
url = "https://figshare.com/articles/preprint/Transformation_of_pixels_pdf/6373046",
doi = "10.6084/m9.figshare.6373046.v2"
}
🔬 Highlighted Scientific Projects
| Project | Description | Core Technologies |
|---|---|---|
| Academic Portfolio Website | Source code for my personal academic portfolio, built with a responsive design to showcase my research, publications, and skills. | HTML5 Tailwind CSS GitHub Pages |
| Physics-Simulation-Toolkit | Python scripts for simulating and visualizing phenomena in condensed matter physics, such as magnetic ordering and common dielectric models. | Python Jupyter NumPy SciPy |
| Solid-State-Physics-Calculators | Analysis scripts for calculating key experimental solid-state parameters like activation energy (Arrhenius) and charge transport (Mott-VRH). | Python Pandas Matplotlib |
| Python-for-OriginPro | Automation scripts leveraging the `originpro` library to streamline plotting and data fitting directly within OriginLab's software environment. | Python originpro Pandas |
| Ketron | An open-source knowledge base and archive of various code snippets, experimental scripts, and small personal projects from my physics research. | Python Jupyter LaTeX MATLAB |