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About Me

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

Scientific & Technical Toolkit

Python NumPy Pandas SciPy Matplotlib Jupyter Git LaTeX


Featured Projects

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).

Python Zenodo DOI 10.5281/zenodo.18377217 for PICA

PICA release v1.0.0 on GitHub Screenshot of the PICA instrument-control launcher application

Open hardware reference design for a modular cryogenic platform optimised for high-impedance transport, pyroelectric, and magnetodielectric characterisation in PPMS (14 T) environments.

Open hardware Cryogenics

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.

Ollama Retrieval-Augmented Generation

Kusanagi-AI project page Screenshot of the Orochimaru research assistant in Kusanagi-AI

Computational Physics & Analysis Tools

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

Core Competencies

  • 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)

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