Doctoral researcher at the UGC-DAE Consortium for Scientific Research (Mumbai), working at the intersection of Condensed Matter Physics and Research Software Engineering.
My work focuses on bridging the gap between experimental physics and code, developing open-source Python tools for lab automation (DAQ), instrument control, and reproducible data analysis.
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I am a PhD student specializing in Condensed Matter Physics and Materials Science. My research requires handling complex experimental datasets, which drives my passion for Scientific Computing. I build tools to automate the tedious parts of physics from controlling hardware to standardising analysis pipelines.
- Repositories: My primary work is on GitHub. Public repositories are mirrored to GitLab every few days as a backup.
- Contact: Open to academic collaborations. Reach me at
prathameshnium[at]duck[.]com.
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PICA is a modular framework I developed to automate high-precision characterization and transport measurements in the lab. It standardizes the workflow from Data Acquisition (DAQ) to analysis. Submitted to the Journal of Open Source Software (JOSS). 
How to Cite PICAIf you use PICA in your research, please cite it as: Deshmukh, P. and Mukherjee, S. (2026) “PICA: Advanced High-Precision Transport Measurement Automation with Python”. Zenodo. doi:10.5281/zenodo.18377217.BibTeX: |
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PICA: Python-based Instrument Control & Automation
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A privacy-focused AI toolkit leveraging Ollama. Includes "Orochimaru," a RAG-powered assistant for local PDF analysis and academic review generation. 
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Kusanagi-AI: Local AI Toolkit for Researchers
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An interactive framework for applying transformations directly to Tupper's high-precision, integer-encoded bitmaps. Based on my 2018 preprint. 
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| Project | Description | Core Tech |
|---|---|---|
| Porygons-pixel-lab | Digital workshop for publication-ready figures and animations. | Python |
| Physics-Simulation-Toolkit | Simulations for Condensed Matter (Ising model, magnetism). | Jupyter |
| Solid-State-Calculators | Data analysis for Arrhenius and Mott-VRH models. | Python |
| Python-for-OriginPro | Automation scripts for OriginLab software. | Pandas |
- Physics: Condensed Matter, Materials Science, Multiferroics, Experimental Characterization.
- Programming: Instrument Control & DAQ (PyVISA), Scientific Workflows, Data Pipelines, GUI Development (Tkinter).