Dr. Deepak K. Pandey
I build measurement systems and the software that makes them useful.
Physicist specializing in scientific instrumentation, coincidence spectroscopy (PEPICO), and UHV systems. I also build the Python tools that turn raw measurement data into results.
Based in Kassel, Germany. 8+ years of experimental physics, 24+ peer-reviewed publications, h-index 14, one granted patent.
The roles that fit: R&D or instrumentation scientist, or data scientist / ML engineer on a physics foundation.
What draws me is the work itself: building the instrument and the code that turns its signal into an answer, close to the people who use it.
Beyond the Lab
Outside the lab, you'll find me on the badminton court, running along the Fulda river and the trails around Kassel, or walking the parks with a playlist on. A long run and a stubborn experiment take the same thing: break the distance into parts, and keep going.
Quick Stats
How I Work
Software & Data Pipelines
I set the architecture for the software that turns raw instrument output into usable results: data acquisition, calibration, and analysis pipelines. The point is to keep data processing from slowing the experiment down.
Instruments & Hardware
In my postdoc I design and operate scientific instruments: PEPICO spectrometers, UHV chambers, Ti:Sapphire laser systems, and molecular-beam setups. Comfortable from initial alignment to data handoff, including the debugging in between.
Projects & Collaboration
PhD coordination spanned Germany, India, and three other countries. Data governance, IP management, and timeline delivery across a five-year DST INSPIRE Fellowship (a national competitive award from the Government of India), with 12 first-author publications and a granted patent as the output.
Debugging Discipline
Instruments misbehave. Experiments produce surprises. The response is the same: isolate the variable, document the finding, test the fix. That debugging discipline, built across my PhD and postdoc, carries over to any setting where the problem is complex.
Current Focus
Research
Postdoctoral researcher at the University of Kassel, using Ti:Sapphire laser systems and coincidence spectroscopy (PEPICO) to study molecular dynamics in chiral molecules and microsolvated clusters.
Professional Development
Three portfolio projects built to production standard: predictive maintenance system (RMSE 18.83, SHAP explainability, Docker), probabilistic solar forecasting (R2=0.92, conformal prediction, TimescaleDB), and an agentic AI sensor assistant in active development. Certifications: IBM Data Science Professional, Google AI Essentials.
Applying AI
Sensor Intelligence Assistant (P3): a LangGraph agent that reasons across predictive maintenance tools - RUL prediction, SHAP-grounded explanations, and RAG over maintenance documentation - to answer "what is happening with this engine?" in plain language. Every tool call grounded in real FastAPI endpoints; no hallucinated outputs.
Career Highlights
Machine Learning Portfolio
Day-ahead solar forecasting for the German grid, remaining-useful-life prediction on turbofan engines, and an agentic assistant that reasons across both. Two are complete and containerised with tests and CI; the third is in development.
Postdoctoral Researcher, University of Kassel
Coincidence spectroscopy (PEPICO) and molecular-beam experiments with Ti:Sapphire laser systems. Specified and own the lab's measurement software: the polarimetry platform and the VAJRA coincidence acquisition system.
PhD Researcher, IITRAM Ahmedabad, India
INSPIRE Fellowship recipient (competitive national program). 12 first-author publications. Contributed to one granted patent (gas-separation membranes)
Explore My Work
A few ways into the work
Let's Talk
If any of this resonates, I am always happy to talk about instruments, measurement, and the code that ties them together.