Prathamesh Deshmukh

Physics PhD Scholar & Scientific Programmer

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.

PICA: Python-based Instrument Control & Automation 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 PICA If 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: @software{Deshmukh_PICA_2026, author = {Deshmukh, Prathamesh Keshao and Mukherjee, Sudip}, title = {{PICA: Advanced High-Precision Transport Measurement Automation with Python}}, month = jan, year = 2026, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.18377217}, url = {https://doi.org/10.5281/zenodo.18377217}, note = {Submitted to the Journal of Open Source Software (JOSS)} }

Kusanagi-AI: Local AI Toolkit for Researchers A privacy-focused AI toolkit leveraging Ollama. Includes "Orochimaru," a RAG-powered assistant for local PDF analysis and academic review generation.

TupperTransformer: Interactive Bitmap Math An interactive framework for applying transformations directly to Tupper's high-precision, integer-encoded bitmaps. Based on my 2018 preprint.

• Physics: Condensed Matter, Materials Science, Multiferroics, Experimental Characterization.
• Programming: Instrument Control & DAQ (PyVISA), Scientific Workflows, Data Pipelines, GUI Development (Tkinter).

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