Doctoral researcher at the UGC-DAE Consortium for Scientific Research (Mumbai),
working at the intersection of Condensed Matter Physics and
Computational Science.
I cover the full research stack: from designing cryogenic hardware
and automating data acquisition to building simulation models and analysis tools.
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I am Prathamesh Keshao Deshmukh, a PhD student in Condensed Matter Physics at the UGC-DAE Consortium for Scientific Research (Mumbai), specialising in Materials Science and Scientific Computing. My work aims to modernise experimental physics by developing open-source tools that seamlessly connect lab hardware, data acquisition, and theoretical modelling.
- Open to: Postdoctoral positions in Condensed Matter or Computational Physics.
- Code: Primary repositories on GitHub; mirrored to GitLab periodically.
- Contact:
prathameshnium[at]duck[.]com
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A modular framework for automating high-precision transport and characterisation measurements, standardising the workflow from data acquisition through to analysis. Submitted to the Journal of Open Source Software (JOSS). 
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PICA — Python Instrument Control & Automation
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Open hardware reference design for a modular cryogenic platform optimised for high-impedance transport, pyroelectric, and magnetodielectric characterisation in PPMS (14 T) environments. 
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A privacy-first AI toolkit built on local LLMs via Ollama. Features Orochimaru, a RAG-powered assistant for analysing academic PDFs and generating structured literature reviews — entirely offline. 
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Kusanagi-AI — AI Toolkit for Research
| Repository | Focus | Stack |
|---|---|---|
| Physics-Simulation-Toolkit | Ising model, magnetic ordering, dielectric relaxation | Python, Jupyter |
| Solid-State-Calculators | Arrhenius plots, Mott-VRH transport, activation energy | Python, SciPy |
| TupperTransformer | Interactive bitmap engine for Tupper's self-referential formula | JavaScript |
| Python-for-OriginPro | Automated plotting and data management in OriginLab | Pandas, OriginC |
- Physics: Condensed Matter Physics · Materials Science · Multiferroics · Magnetoelectric Coupling · Experimental Physics
- Experimental: Low-temperature transport · Dielectric spectroscopy · Magnetometry · Pyroelectric measurements · Cryogenics (PPMS, 14 T)
- Programming: Python · Instrument control (PyVISA) · Lab automation · Data acquisition & pipelines · Data visualization · GUI development (Tkinter)
- Scientific software: NumPy · SciPy · Pandas · Matplotlib · COMSOL Multiphysics · MATLAB · OriginLab · LaTeX
- Simulation & AI: Physics simulation (Ising model, dielectric relaxation) · Local LLMs · Retrieval-Augmented Generation (RAG)